89 results on '"Cexus, Jean-Christophe"'
Search Results
2. Holistic Approach of Integrated Navigation Equipment for Cybersecurity at Sea
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Boudehenn, Clet, primary, Cexus, Jean-Christophe, additional, Abdelkader, Ramla, additional, Lannuzel, Maxence, additional, Jacq, Olivier, additional, Brosset, David, additional, and Boudraa, Abdel, additional
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- 2023
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3. Solving the Problem of Coordination and Control of Multiple UAVs by Using the Column Generation Method
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Nguyen, Duc Manh, Dambreville, Frédéric, Toumi, Abdelmalek, Cexus, Jean-Christophe, Khenchaf, Ali, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Le Thi, Hoai An, editor, Le, Hoai Minh, editor, and Pham Dinh, Tao, editor
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- 2020
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4. Features modeling with an $\alpha$-stable distribution: Application to pattern recognition based on continuous belief functions
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Fiche, Anthony, Cexus, Jean-Christophe, Martin, Arnaud, and Khenchaf, Ali
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Computer Science - Artificial Intelligence - Abstract
The aim of this paper is to show the interest in fitting features with an $\alpha$-stable distribution to classify imperfect data. The supervised pattern recognition is thus based on the theory of continuous belief functions, which is a way to consider imprecision and uncertainty of data. The distributions of features are supposed to be unimodal and estimated by a single Gaussian and $\alpha$-stable model. Experimental results are first obtained from synthetic data by combining two features of one dimension and by considering a vector of two features. Mass functions are calculated from plausibility functions by using the generalized Bayes theorem. The same study is applied to the automatic classification of three types of sea floor (rock, silt and sand) with features acquired by a mono-beam echo-sounder. We evaluate the quality of the $\alpha$-stable model and the Gaussian model by analyzing qualitative results, using a Kolmogorov-Smirnov test (K-S test), and quantitative results with classification rates. The performances of the belief classifier are compared with a Bayesian approach.
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- 2015
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5. A Column Generation Based Label Correcting Approach for the Sensor Management in an Information Collection Process
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Nguyen, Duc Manh, Dambreville, Frédéric, Toumi, Abdelmalek, Cexus, Jean-Christophe, Khenchaf, Ali, Nguyen, Ngoc Thanh, editor, van Do, Tien, editor, and le Thi, Hoai An, editor
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- 2013
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6. A Comparison between a Bayesian Approach and a Method Based on Continuous Belief Functions for Pattern Recognition
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Fiche, Anthony, Martin, Arnaud, Cexus, Jean-Christophe, Khenchaf, Ali, Denoeux, Thierry, editor, and Masson, Marie-Hélène, editor
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- 2012
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7. Features modeling with an α-stable distribution: Application to pattern recognition based on continuous belief functions
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Fiche, Anthony, Cexus, Jean-Christophe, Martin, Arnaud, and Khenchaf, Ali
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- 2013
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8. A proposal learning strategy on CNN architectures for targets classification
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Toumi, Abdelmalek, primary, Cexus, Jean-Christophe, additional, and Khenchaf, Ali, additional
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- 2022
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9. Navigation anomaly detection: An added value for Maritime Cyber Situational Awareness
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Boudehenn, Clet, Jacq, Olivier, Lannuzel, Maxence, Cexus, Jean-Christophe, Boudraa, Abdel, Equipe PIM (Lab-STICC_PIM), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Institut de Recherche de l'Ecole Navale (IRENAV), Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies, and HESAM Université (HESAM)-HESAM Université (HESAM)
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Programmable logic controllers ,Computer crime ,Data Analytics ,Crime ,Network security ,Decision making ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,Navigation - Abstract
International audience; The maritime sector is facing a continuous shift towards digitalization. A ship built during the last decade shows all characteristics of a comprehensive information system, combining information and operational technologies. While industrial programmable logic controllers are used for engine and power management, the bridge is now highly relying on digital sensors, networks and displays for navigation. Meanwhile, over the last few years, many cyber attacks targeting maritime assets and made publicly confirm a real interest of criminal and non-state actors in this critical sector for our globalized economies. In this work, a concept designed to detect and visualize advanced navigation cyber attacks on maritime systems using contextual NMEA data analytics is presented. A strategy is built to enhance the detection of navigation spoofing attacks, assess possible physical impacts onboard and support decision makers.
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- 2021
10. Some useful properties of cross- [formula omitted]-energy operator
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Boudraa, Abdel-Ouahab, Benramdane, Salem, Cexus, Jean-Christophe, and Chonavel, Thierry
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- 2009
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11. Navigation anomaly detection: An added value for Maritime Cyber Situational Awareness
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Boudehenn, Clet, primary, Jacq, Olivier, additional, Lannuzel, Maxence, additional, Cexus, Jean-Christophe, additional, and Boudraa, Abdel, additional
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- 2021
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12. An Energy-Based Similarity Measure for Time Series
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Boudraa, Abdel-Ouahab, Cexus, Jean-Christophe, Groussat, Mathieu, and Brunagel, Pierre
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- 2007
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13. EMD-based signal filtering
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Boudraa, Abdel-Ouahab and Cexus, Jean-Christophe
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Oscillators (Electronics) -- Acoustic properties ,Oscillators (Electronics) -- Design and construction ,Signal detection (Electronics) -- Usage - Published
- 2007
14. A Column Generation Based Label Correcting Approach for the Sensor Management in an Information Collection Process
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Nguyen, Duc Manh, primary, Dambreville, Frédéric, additional, Toumi, Abdelmalek, additional, Cexus, Jean-Christophe, additional, and Khenchaf, Ali, additional
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- 2013
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15. Functional segmentation of dynamic nuclear images by cross- ΨB-energy operator
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Boudraa, Abdel-Ouahab, Cexus, Jean-Christophe, and Zaidi, Habib
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- 2006
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16. Target recognition from ISAR image using polar mapping and shape matrix
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Cexus, Jean-Christophe, primary, Toumi, Abdelmalek, additional, and Riahi, Maroua, additional
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- 2020
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17. A Data Extraction Method for Anomaly Detection in Naval Systems
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Boudehenn, Clet, primary, Cexus, Jean-Christophe, additional, and Boudraa, Abdel.A, additional
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- 2020
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18. Influence of Synchronization Impairments on an Experimental TDOA/FDOA Localization System
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Seuté, Hugo, Enderli, Cyrille, Grandin, Jean-François, Khenchaf, Ali, Cexus, Jean-Christophe, Thales Airborne Systems, THALES Airborne Systems, Pôle STIC_REMS, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Lab-STICC_ENSTAB_MOM_PIM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), and Lab-STICC_ENSTAB_CID_TOMS
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time deviation ,[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism ,TDOA ,USRP (universal software radio peripheral) ,passive localization ,Synchronization ,FDOA ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,ComputingMilieux_MISCELLANEOUS ,Allan variance - Abstract
International audience
- Published
- 2017
19. 2D Teager-Kaiser Energy Operator for the translation motion compensation in ISAR signatures
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Cexus, Jean-Christophe, primary and Khenchaf, Ali, additional
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- 2018
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20. Radar target recognition using time-frequency analysis and polar transformation
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Cexus, Jean-Christophe, primary and Toumi, Abdelmalek, additional
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- 2018
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21. étude statistique du fouillis de mer à partir de lois alpha-stables
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Fiche, Anthony, Khenchaf, Ali, Cexus, Jean-Christophe, Martin, Arnaud, Rochdi, Majid, Lab-STICC_ENSTAB_MOM_PIM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Human-machine spoken dialogue (CORDIAL), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-INRIA Rennes, Institut National de Recherche en Informatique et en Automatique (Inria)-École Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT), Département STIC [Brest] (STIC), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Extraction et Exploitation de l'Information en Environnements Incertains (E3I2), Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-INRIA Rennes
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spectre d'Elfouhaily ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,distribution á-stable ,modèle statistique ,fouillis de mer ,Electrical and Electronic Engineering ,optique physique ,surface équivalente radar ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing - Abstract
WOS; International audience; Dans cet article, en vue d'une problématique de surveillance maritime, nous proposons de caractériser le fouillis de mer en utilisant une approche statistique. En général, l'étude statistique du fouillis de mer nécessite d'avoir des moyens matériels importants, installés dans un environnement maritime, permettant d'acquérir une base de signaux réels diffusés par une surface maritime. Par conséquent, dans ce papier, nous choisissons d'une part, de générer une surface maritime à partir du spectre d'Elfouhaily. D'autre part, l'optique physique est utilisée pour calculer le coefficient de diffusion d'une surface maritime. Dans ce sens, une base de données de coefficient de diffusion est ainsi constituée, pour des caractéristiques électromagnétiques de l'eau de mer fixées, en faisant varier la géométrie d'observation, la polarisation de l'onde (à l'émission et à la réception), la vitesse du vent et la direction du vent. Pour analyser la distribution des coefficients de diffusion électromagnétique, nous proposons l'utilisation pour la première fois, de la loi -stable que nous comparons aux résultats obtenus avec les distributions statistiques généralement utilisées : la loi de Weibull et la loi . Le test de Kolmogorov-Smirnov permet d'affirmer que le modèle alpha-stable est le plus adapté à notre base de données. Par conséquent, nous regardons plus particulièrement l'influence de la polarisation, de la vitesse du vent et de la direction du vent sur les paramètres des distributions -stables. Le paramètre de position delta permet notamment de discriminer les densités de probabilité du paramètre pour certaines configurations.
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- 2013
22. Quantitative measures in ISAR image formation based on time-frequency representations
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Cexus, Jean-Christophe, primary, Toumi, Abdelmalek, additional, and Couderc, Orian, additional
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- 2017
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23. Why Synchronization is a Key Issue in Modern ElectronicSupport Measures
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Seuté, Hugo, Grandin, Jean-François, Enderli, Cyrille, Khenchaf, Ali, Cexus, Jean-Christophe, Thales Airborne Systems, THALES Airborne Systems, Lab-STICC_ENSTAB_MOM_PIM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Pôle STIC_REMS, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), and Billon-Coat, Annick
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[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph] ,[SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph] ,Frequency ,performance analysis ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,[SPI.TRON] Engineering Sciences [physics]/Electronics ,Localization precision ,[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing ,[SPI.TRON]Engineering Sciences [physics]/Electronics - Abstract
International audience; The goal of this paper is to show that in order to achieve good localizationperformances with a modern Electronic Support Measure (ESM) system based on TimeDifference Of Arrival (TDOA) and Frequency Difference Of Arrival (FDOA)measurements, it is necessary to have a precisely synchronized time base on every sensor.An application case is detailed to show how an imperfect synchronization causesdegradations in the localization performances at the output of the system. It focuses on asimple scenario: two airborne receivers using TDOA and FDOA measurements tolocalize a stationary emitter. In the first section the synchronization process and its errormodel are defined. The second section presents simulations which show the influence ofthese errors on the estimation of TDOA and FDOA measurements. In the last section arediscussed the final localization performances, based on the calculation of the Cramér-Rao Lower Bound (CRLB) using the previous corrupted estimates of TDOA and FDOA.
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- 2015
24. [formula omitted]-energy operator and cross-power spectral density
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Boudraa, Abdel-Ouahab, Chonavel, Thierry, and Cexus, Jean-Christophe
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- 2014
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25. Psi_B-energy operator and cross-power spectral density
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Boudraa, Abdel-Ouahab, Chonavel, Thierry, Cexus, Jean-Christophe, Institut de Recherche de l'Ecole Navale (IRENAV), Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Telecom Bretagne, Lab-STIC, Brest, Brest, Lab-STICC_TB_CID_TOMS, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Département Signal et Communications (SC), and Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)
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Cross-power spectral density ,Teager–Kaiser energy operator ,Cross- Ψ B -energy operator ,Ψ H -energy operator ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,Traitement du signal et de l'image [Sciences de l'ingénieur] - Abstract
In this paper we consider the hermitian extension of the cross-Psi_B-energy operator that we will denote by Psi_H. In addition, cross energy terms are formalized through multivariate signals representation. We investigate the connection between the interaction energy function of Psi_H and the cross-power spectral density (CPSD)of two complex valued signals. In particular, this link permits to use this operator for estimating the CPSD. We illustrate the interest of Psi_H as a similarity between a pair of signals in frequency domain on synthetic and real data.; International audience; In this paper we consider the hermitian extension of the cross-Psi_B-energy operator that we will denote by Psi_H. In addition, cross energy terms are formalized through multivariate signals representation. We investigate the connection between the interaction energy function of Psi_H and the cross-power spectral density (CPSD)of two complex valued signals. In particular, this link permits to use this operator for estimating the CPSD. We illustrate the interest of Psi_H as a similarity between a pair of signals in frequency domain on synthetic and real data.
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- 2014
26. Psi-B energy operator and cross-power spectral density
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Boudraa, Abdel-Ouahab, Chonavel, Thierry, Cexus, Jean-Christophe, Institut de Recherche de l'Ecole Navale (IRENAV), Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Lab-STICC_TB_CID_TOMS, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Département Signal et Communications (SC), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), and École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)
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Cross-Power Spectral density ,Teager-Kaiser energy operator ,Psi-H energy operator ,Cross-Psi-B energy operator ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing - Abstract
International audience; In this paper we consider the hermitian extension of the cross-Psi-B energy operator, that we will denote by Psi-H . In addition, cross energy terms are formalized through multivariate signals representation. We investigate the connection between the interaction energy function of Psi-H and the cross-power spectral density (CPSD) of two complex valued signals. In particular, this link permits to use this operator for estimating the CPSD. We illustrate the interest of Psi-H as a similarity between a pair of signals in frequency domain on synthetic and real data.
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- 2014
27. Experimental Analysis of Time Deviation on a Passive Localization System
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Seute, Hugo, primary, Enderli, Cyrille, additional, Grandin, Jean-Francois, additional, Khenchaf, Ali, additional, and Cexus, Jean-Christophe, additional
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- 2016
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28. Experimental measurement of time difference of arrival
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Seute, Hugo, primary, Enderli, Cyrille, additional, Grandin, Jean-Francois, additional, Khenchaf, Ali, additional, and Cexus, Jean-Christophe, additional
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- 2016
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29. ISAR image formation with a combined empirical mode decomposition and time frequency representation
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Ahmed, Bay Ahmed Hadj, primary, Cexus, Jean-Christophe, additional, and Toumi, Abdelmalek, additional
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- 2015
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30. Why synchronization is a key issue in modern Electronic Support Measures
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Seute, Hugo, primary, Grandin, Jean-Francois, additional, Enderli, Cyrille, additional, Khenchaf, Ali, additional, and Cexus, Jean-Christophe, additional
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- 2015
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31. Nonstationary Signals Analysis by TEAGER-HUANG TRANSFORM (THT)
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Boudraa, Abdel-Ouahab and Cexus, Jean Christophe
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0209 industrial biotechnology ,020901 industrial engineering & automation ,0202 electrical engineering, electronic engineering, information engineering ,020206 networking & telecommunications ,02 engineering and technology - Abstract
Publication in the conference proceedings of EUSIPCO, Florence, Italy, 2006
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- 2006
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32. Analysis of non-stationnary signals with Huang-Transform, Teager-Kaiser Operator, and Teager-Huang Transform (THT)
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Cexus, Jean-Christophe, Institut de Recherche de l'Ecole Navale (IRENAV), Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Extraction et Exploitation de l'Information en Environnements Incertains (E3I2), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Université Rennes 1, and M. Ali KHENCHAF(Ali.Khenchaf@ensieta.fr / boudra@ecole-navale.fr)
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[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph] ,nonstationary signals ,opérateur (croisée) de Teager-Kaiser ,Fréquence instantanée ,Signal non-stationnaire ,détection ,débruitage ,Teager-Huang Transform ,[PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph] ,classification de signaux ,Teager-Kaiser Operator ,classification ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,Decomposition modale empirique ,Transformation de Huang-Teager (THT) ,Time-frequency ,sonar targets recognition ,Analyse temps-fréquence ,Empirical mode decomposition (EMD) ,Signal multi-composantes ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing - Abstract
The objective rests on the treatment and analyzes nonstationary signals, multi-components. For the treatment (filtering and denoising), we propose new tools based on the Huang-Transform (or empirical modal Decomposition: EMD). On the basis of the Teager-Kaiser Energy Operator, we propose a new operator of measurement of interaction between two complex signals. We establish the theoretical properties with the time-frequency distributions of the class of Cohen. We show that it is a measurement of similarity and that it is adapted to the detection of signals. For the analysis, we introduce a new method time-frequency based on the joint use of the EMD and the Teager-Kaiser operator: the Huang-Teager Transform (THT). To illustrate these concepts, of the results of filtering, denoising, detection, analysis time-frequency of signals are presented. We finish by the analysis and classification of the echoes of targets sonars by THT.; L'objectif repose sur le traitement et l'analyse des signaux non-stationnaires, multi-composantes. Pour le traitement (filtrage et débruitage), nous proposons de nouveaux outils fondés sur la Transformation de Huang (ou Décomposition modale empirique : EMD). Partant de l'opérateur de Teager-Kaiser, nous proposons un nouvel opérateur de mesure d'interaction entre deux signaux complexes. Nous établissons les liens théoriques avec les représentations temps-fréquence de la classe de Cohen. Nous montrons que c'est une mesure de similarité et qu'il est adapté à la détection de signaux. Pour l'analyse, nous introduisons une nouvelle méthode temps-fréquence basée sur l'utilisation conjointe de l'EMD et de l'opérateur de Teager-Kaiser : la Transformation de Huang-Teager (THT). Pour illustrer ces concepts, des résultats de filtrage, de débruitage, de détection, d'analyse temps-fréquence de signaux sont présentés. Nous terminons par l'analyse et classification des échos de cibles sonars par THT.
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33. Pachygrapsus crassipes Randall 1840
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Poupin, Joseph, Davie, Peter J. F., and Cexus, Jean-Christophe
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Arthropoda ,Decapoda ,Pachygrapsus crassipes ,Animalia ,Pachygrapsus ,Biodiversity ,Grapsidae ,Malacostraca ,Taxonomy - Abstract
Pachygrapsus crassipes Randall, 1840 (Figures 2a–e, 14g, 15g, 16) Pachygrapsus crassipes Randall, 1840: 127 [type locality: Hawaiian Is. but according to Rathbun (1918) and Edmonson (1959) this locality must be erroneous]. — Stimpson, 1858: 48 [102] (California, Japan); 1907: 116 (Japan). — Ortmann, 1894: 708 (California; Japan). — Rathbun, 1918: 241 (California; Galápagos Is., Japan, Korea; but not Chile, see distribution). — Tesch, 1918: 76 (Key). — Garth, 1957: 103 (invalid record in Chile; see distribution). —Edmonson, 1959: 168 (California). — Sakai, 1976: 634, pl. 218, fig. 1 (Japan, Korea; references). — Dai & Yang, 1991: 511 (China sea, Guangdong, Fujian, and Zhejiang). — Hendrickx, 1995: 140 (east Pacific from Oregon to Gulf of California and Rocas Alijos; references). — Cuesta & Schubart, 1998: 1501 (California). — Ng et al., 2001: 40 (Taiwan; references). Grapsus eydouxi H. Milne Edwards, 1853: 170 [136] (Chile; probably an erroneous locality, see distribution). Leptograpsus gonagrus H. Milne Edwards, 1853: 173 [139] (type locality unknown). Type material Male preserved in alcohol (ANSP CA 901) (P. Callomon, pers. comm.). Material Examined East Pacific. California: Pacific Grove, 1 M 27.0 x 30.8 mm (MNHN B12892); coll. J. E. Benedict, June 1905, 3 M 26.5 x 29.8–37.2 x 42.9 mm, 4 ov. F 27.3 x 30.1–31.9 x 36.8 mm, 2 F 25.6 x 28.4, 34.0 x 39.6 mm, plus numerous other specimens not examined (USNM 32234). West Pacifi c. Japan: Enoshima, Sagami Bay, coll. M. Takeda, 15 August 1980, 1 M 31.9 x 36.6 mm (NSMT Cr7516). — Sotobo, Chiba Prefecture, coll. T. Habe, 25 March 1975, 2 M 16.8 x 18.9, 24.9 x 29.3 mm (NSMT Cr 6822). Diagnosis Carapace with dorsal surface weakly convex, striated on gastric, hepatic, branchial regions; striae without setae. Cardiac, intestinal regions smooth or only with faint striae. Lateral margins convergent posteriorly, with single tooth behind exorbital angle (Fig. 2a). Front 0.6 times exorbital width, anterior margin slightly sinuous with 2 lobules distally (Fig. 2b). Infraorbital margin weakly dentate on inner half, deeply dentate on outer half; outer notch deep (Fig. 14g). Outer face of chelae smooth with faint longitudinal line near lower margin, becoming clearly noticeable only on outer face of fixed finger; upper margin slightly carinated; tip of fingers spoonlike, glabrous (Fig. 2c). Ambulatory legs almost totally glabrous; carpi, propodi with several short mobile spines; dactyli with longitudal rows of long mobile spines, ending with strong, corneous claw. Lower margin of P5 merus smooth with rounded distal angle (Fig. 2d). Abdominal tergites smooth; sixth somite of abdomen plus telson triangular in male (Fig. 2e). G1 bluntly truncated with small hornlike process distally (Fig. 15g). Colour: very variable on photographs examined. Carapace green to almost totally black. Chelipeds light pink to purple or black, with a marbled pattern on the chelae. Ambulatory legs light green or purple to almost totally black. Measurements: large size; carapace of specimens examined ranging from 26.5 x 29.8 mm to 37.2 x 42.9 mm. Distribution East Pacific. Oregon and California, Mexico, Galápagos. West Pacific. China, Japan, Korea, Taiwan. The type locality given by Randall (1840), the Hawaiian Is., is certainly erroneous as this largesize and common species has never again been recorded from the islands. The type specimen was most probably collected on the California coast. Pachygrapsus crassipes was also listed as occurring in Chile by Rathbun (1918: 241) based on the fact that this is the type locality given for Grapsus eydouxi H. Milne Edwards (1853: 170). The type of G. eydouxi has not been found at the MNHN. Garth (1957: 105) considered the type locality of Chile for G. eydouxi to be erroneous, and thus he did not include P. crassipes as part of the Chilean fauna. Habitat Intertidal on rocky shores. Remarks Pachygrapsus crassipes, together with P. gracilis, P. laevimanus, P. loveridgei, P. maurus, and P. transversus, belongs to the group of species with only one tooth behind the exorbital angle. It clearly differs from these species by the shape of its G1 (Fig. 15). Of this group it is morphologically close to P. transversus, another largesize species. The two can be separated by the presence of striae on the cardiac and intestinal regions of the carapace being marked only in P. transversus (Fig. 2a, 13a); the longitudinal stria on the outer face of the chela is unclear in P. crassipes, but deep in P. transversus (Fig. 2c, 13c); the ventrodistal angle of the P5 merus is rounded in P. crassipes, but it has spines in P. transversus (Fig. 2d, 13d); and the male abdomen is regularly triangular at its tip only in P. crassipes (Fig. 2e, 13e). Pachygrapsus crassipes is common on the Pacific coasts of North and South America from Oregon to Mexico and the Galápagos Is. Stimpson (1907: 116) was the first to record it from the west Pacific, indicating that he was "unable to find a distinguishing character, however minute, between the specimens from Japan and those from California". Pachygrapsus crassipes was reported several times thereafter from the west Pacific, including Korea (Rathbun, 1918), Japan (Sakai, 1976), China (Dai & Yang, 1911), and Taiwan (Ng et al., 2001). This amphiPacific distribution is rather unusual, the fauna of the east and west Pacific normally being distinct. The G1 of Asian P. crassipes appears to have never been figured or compared with the American P. crassipes. The examination of the G1 of Japanese specimens (NSMT Cr7516, Cr 6822) shows them to be very similar to the American P. crassipes. Despite this, preliminary DNA analyses by C. Schubart (pers. comm.) indicate genetic differences between the Asian and American populations and, if these are confirmed by additional data (morphology, larval development, colour pattern), the two could be considered separate species., Published as part of Poupin, Joseph, Davie, Peter J. F. & Cexus, Jean-Christophe, 2005, A revision of the genus Pachygrapsus Randall, 1840 (Crustacea: Decapoda: Brachyura, Grapsidae), with special reference to the Southwest Pacific species, pp. 1-66 in Zootaxa 1015 (1) on pages 9-12, DOI: 10.11646/zootaxa.1015.1.1, http://zenodo.org/record/5049232, {"references":["Randall, J. W. (1840) Catalogue of the Crustacea brought by Thomas Nuttall and J. K. Townsend, from the west coast of North America and the Sandwich Islands, with description of such species as are apparently new, among which are included several species of different localities, previously existing in the collection of the Academy. Journal of the Academy of Natural Science of Philadelphia, 1839 (1840), 8 (1), 106 - 148, pl. 3 - 7.","Rathbun, M. J. (1918) The grapsoid crabs of America. Bulletin of the United States National Museum, 97, i - xxii, 1 - 461, pl. 1 - 161.","Stimpson, W. (1858) Prodromus descriptionis animalium evertebratorum, quae in Expeditione ad Oceanum Pacificum Septentrionalem, a Republica Federata missa, Cadwaladaro Ringgold et Johanne Rodgers ducibus, observavit et descripsit W. Stimpson. Pars V. Crustacea Ocypodoidea. Proceedings of the Academy of Natural Sciences, Philadelphia, 10, 93 - 110 [39 - 56].","Ortmann, A. (1894) Die Decapoden - Krebse des Strassburger Museums. VIII Theil. Abtheilung: Brachyura (Brachyura genuina Boas), III. Unterabtheilung: Cancroidea, 2. Section: Cancrinea, 2. Gruppe: Catametopa. Zoologischen Jahrbuchern, Iena, Abtheilung fur Systematik, 8, 683 - 772, pl. 23.","Tesch, J. J. (1918) The Decapoda Brachyura of the Siboga expedition. I. Hymenosomidae, Retroplumidae, Ocypodidae, Grapsidae, and Gecarcinidae. Siboga - Expeditie, 39 c, 1 - 148, pl. 1 - 6.","Garth, J. S. (1957) Reports of the Lund University Chile Expedition 1948 - 49, n ° 29. The crustacea Decapoda Brachyura of Chile. Lunds Universitets A rsskrift, n. f., Avd. 2, 53 (7), 1 - 128.","Sakai, T. (1976) Crabs of Japan and the adjacent seas. Tokyo, Kodansha, English volume, i - xxix, 773 pp.; Japanese volume, 461 pp.; plates volume, pl. 1 - 251.","Dai, A. & Yang, S. (1991) Crabs of the China seas. China Ocean Press Beijing; Springer-Verlag Berlin, Heidelberg, New York, Tokyo (English Edition), 682 pp.","Hendrickx, M. E. (1995) Checklist of brachyuran crabs (Crustacea: Decapoda) from the Eastern Tropical Pacific. Bulletin de l'Institut Royal des Sciences Naturelles de Belgique, 65, 125 - 150.","Cuesta, J. A. & Schubart, C. D. (1998) Morphological and molecular differentiation between three allopatric populations of the littoral crabs Pachygrapsus transversus (Gibbes, 1850) (Brachyura, Grapsidae). Journal of Natural History, 32, 1499 - 1508.","Ng, P. K. L., Wang, C. H., Ho, P. H. & Shih, H. T. (2001) An annotated checklist of the brachyuran crabs from Taiwan (Crustacea: Decapoda). National Taiwan Museum, Special Publication Series, 11, 1 - 86.","Milne Edwards, H. (1853) Memoire sur la famille des Ocypodiens. Annales des Sciences Naturelles, Zoologie, Paris, ser. 3, 20, 163 - 228, pl. 6 - 11.","Stimpson, W. (1907) Report on the Crustacea (Brachyura and Anomura) collected by the North Pacific Exploring Expedition, 1853 - 1856. Smithsonian Miscellaneous Collections, 49 (1717), 1 - 240, pl. 1 - 26."]}
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34. Pachygrapsus loveridgei Chace 1966
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Poupin, Joseph, Davie, Peter J. F., and Cexus, Jean-Christophe
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Arthropoda ,Pachygrapsus loveridgei ,Decapoda ,Animalia ,Pachygrapsus ,Biodiversity ,Grapsidae ,Malacostraca ,Taxonomy - Abstract
Pachygrapsus loveridgei Chace, 1966 (Figures 6a–e, 14i, 15i) Pachygrapsus loveridgei Chace, 1966: 640, fig. 9–10 [type locality: St. Helena I.]. — Manning & Chace, 1990: 66 (Ascension I.). Pachygrapsus transversus — Miers, 1881: 432 (Ascension I.) [Not Pachygrapsus transversus (Gibbes, 1850)]. Type material Male holotype 10.3 x 13.1 mm (USNM 112457) and 6 paratypes (USNM 112467). Material Examined Central Atlantic. St. Helena I.: Rupert's Bay, on buoy cable, coll. A. Loveridge, 18 March 1960, 1 M 10.3 x 13.1 mm (Holotype USNM 112457); 11 February 1963, 3 M 5.5 x 6.8–7.7 x 9.5 mm, 1 F 6.2 x 7.9 mm, 2 ov. F. 5.0 x 6.7, 7.2 x 8.6 mm (Paratype USNM 112467); 1 M 8.1 x 10.0 mm (MNHN B17836). Diagnosis Carapace dorsal surface markedly convex; with glabrous striae on protogastric, hepatic, branchial region; mesogastric, cardiac, intestinal region smooth or with only few short striae (Fig. 6a). Lateral margins convergent posteriorly, with only one tooth behind exorbital angle. Anterior margin of front sinuous, 0.5 times exorbital width (Fig. 6b). Infraorbital margin minutely denticulate, with shallow outer notch (Fig. 14i). Outer face of chelae regularly convex, smooth except for conspicuous longitudinal line near lower margin, running nearly entire length of palm to tip of fixed finger (Fig. 6c). Cutting edges of fingers narrowly gaping, with several triangular teeth. Tip of fingers corneous, spoonlike, glabrous. Ambulatory legs with several scattered long bristles. P2 propodi with plumose setae on anterodorsal surface, forming light brush of setae. Lower margin of P5 with 1–3 submedian tubercles; distoventral angle with 2–3 spines (Fig. 6d). Abdominal tergites smooth; sixth somite of male broadly subrectangular, not triangular with telson (Fig. 6e). Distal process of G1 stout, sicklelike tip (Fig. 15i). Colour: Live coloration unknown. Chace (1966: 643) indicated the colour of freshly preserved specimens as "the carapace is mottled grayish brown with all transverse striae dark brown; chelipeds dark reddish brown dorsally, fading to light tan on outer surface of palm and to nearly white near tip of fingers; ambulatory legs mottled with brown, gray, and tan, proximal and distal ends of propodus and proximal end of dactyl nearly white, giving banded appearance to legs." Measurements. Medium size; carapace of specimens examined ranging from 5.0 x 6.7–10.3 x 13.1 mm. Chace (1966) and Manning & Chace (1990) indicated that cl varies between 1.9–12.4 mm, with 3.2 mm for the smallest ovigerous females. Distribution Central Atlantic: Ascension and St. Helena islands. Habitat Intertidal, but also on buoys, associated with barnacles, from near the surface to 7 meters. Remarks Pachygrapsus loveridgei is morphologically close to P. transversus (Gibbes, 1850). Both species have only one tooth on the lateral margins of the carapace behind exorbital angle, a conspicuous line on the outer face of the chelae near the lower margin, a brush of setae on the P2 propodi, and a male abdomen that is not apically triangular. P. loveridgei is smaller in size, the carapace is more convex, and the chitinous terminal portion of the G1 is broadly sickle shaped, rather than obliquely Tshaped as in P. transversus (Fig. 15i, l). Chace (1966: 644) indicated that 85 of the 211 specimens examined from St. Helena I. were found living near the surface on a buoy. This sporadic semipelagic way of life, along with its small size and markedly convex carapace, suggest affinities with species of Planes Bowdich, especially Planes marinus Rathbun, 1911, a species at one time included Pachygrapsus (see Chace, 1951)., Published as part of Poupin, Joseph, Davie, Peter J. F. & Cexus, Jean-Christophe, 2005, A revision of the genus Pachygrapsus Randall, 1840 (Crustacea: Decapoda: Brachyura, Grapsidae), with special reference to the Southwest Pacific species, pp. 1-66 in Zootaxa 1015 (1) on pages 23-25, DOI: 10.11646/zootaxa.1015.1.1, http://zenodo.org/record/5049232, {"references":["Chace, F. A. (1966) Decapod crustaceans from St. Helena Island, South Atlantic. Proceedings of the United States National Museum, 118, 623 - 660.","Manning, R. B. & Chace, F. A. (1990) Decapod and Stomatopod Crustacea from Ascension Island, South Atlantic Ocean. Smithsonian Contributions to Zoology, 503, i - v, 1 - 91.","Miers, E. J. (1881) Crustacea. In: Report on a collection made by Mr. T. Conry in Ascencion Island. Annals and Magazine of Natural History, ser. 5, 8, 432 - 434.","Gibbes, L. R. (1850) On the carcinological Collections of the Cabinets of Natural History in the United States. Proceedings of the Third Meeting of American Association for Advancement of Science, 3, 165 - 201.","Rathbun, M. J. (1911) Marine Brachyura. In: The Percy Sladen Trust expedition to the Indian Ocean in 1905 under the leadership of Mr. J. Stanley Gardiner. Vol. III, n ° XI. Transaction of the Linnaean Society London, ser. 2, Zoology, 14 (2), 191 - 261, pl. 15 - 20.","Chace, F. A. (1951) The oceanic crabs of the genera Planes and Pachygrapsus. Proceedings of the United States National Museum, 101, 65 - 103."]}
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35. Pachygrapsus corrugatus
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Poupin, Joseph, Davie, Peter J. F., and Cexus, Jean-Christophe
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Pachygrapsus corrugatus ,Arthropoda ,Decapoda ,Animalia ,Pachygrapsus ,Biodiversity ,Grapsidae ,Malacostraca ,Taxonomy - Abstract
Pachygrapsus corrugatus (von Martens, 1872) (Figures 1a–d, 14f, 15f) Grapsus (Leptograpsus) corrugatus von Martens, 1872: 107, pl. 4, fig. 8, 8b [type locality: Cuba]. Pachygrapsus corrugatus — Kingsley, 1880: 200 (key). — Rathbun, 1918: 252, pl. 160, fig. 4 (Cuba); 1933: 89 (Puerto Rico). — Chace & Hobbs, 1969: 167 (Virgin Is.). — Manning, 1963: 159–160 (Bahamas). — Holthuis et al., 1980: 46 (St Paul's Rocks). — Manning & Chace, 1990: 66, fig. 43 (Ascension I.). — Melo, 1996: 452, fig. 1 (Brazil); 1998: 499 (Brazil). Type material Three females and one male in alcohol with the label " Leptograpsus corrugatus, collector Gundlach, Cuba " (ZMB 3702). These are not indicated as types but many types in this collection are not marked as such (C. O. Coleman, pers. comm.). The smallest specimen (ZMB 3702) is a male approximately 12 x 14 mm, probably the specimen that is described in von Martens (1872: 107). It is herein designated as lectotype and the remaining three females are the paralectotypes. Material Examined West Atlantic. Virgin Is.: St. Croix, on coastal rocks Judith Fancy Bay, coll. H. A. Beatty, 1935–1936, 1 ov. F. 13.6 x 15.2 mm (USNM 72340). Bahamas, Treasure I., Salt Cay, ChaplinBahama collection, stn 247, south shore of western tip, coll. J. C. Briggs et al., 14 August 1955, 1 M 15.4 x 17.3 mm (USNM 122786). South Central Atlantic. Ascension I.: south of Collyer Point, intertidal rocky flat around blowhole adjacent to Cable and Wireless Beach, hand and poison, coll. R. B. Manning, 25 May 1971, 1 M 8.6 x 10.2 mm (USNM 252325). Diagnosis Very similar to Pachygrapsus fakaravensis (see diagnosis and remarks for that species). The two species differ by the striation of the abdomen, which is less pronounced in P. corrugatus than in P. fakaravensis. Measurements: medium size; carapace of specimens examined ranging from 8.6 x 10.2 to 15.4 x 17.3 mm. For Ascension I., Manning & Chace (1990: 66) indicated a smaller cl, ranging from 3.2 to 8.5 mm. Distribution West and south central Atlantic: Brazil, Bahamas, Cuba, Puerto Rico, the Virgin Is., St. Paul's Rocks, Ascension I. Habitat Intertidal rock pools often around algae., Published as part of Poupin, Joseph, Davie, Peter J. F. & Cexus, Jean-Christophe, 2005, A revision of the genus Pachygrapsus Randall, 1840 (Crustacea: Decapoda: Brachyura, Grapsidae), with special reference to the Southwest Pacific species, pp. 1-66 in Zootaxa 1015 (1) on pages 8-9, DOI: 10.11646/zootaxa.1015.1.1, http://zenodo.org/record/5049232, {"references":["Martens von, E. (1872) Uber kubanische Crustaceen nach den Sammlungen Dr. J. Gundlach's. Archiv fur Naturgeschichte, 38 (1), 77 - 147, 257, 258, pl. 4 - 5.","Kingsley, J. S. (1880) Carcinological notes, IV. Synopsis of the Grapsidae. Proceedings of the Academy of Natural Sciences of Philadelphia, 187 - 224.","Rathbun, M. J. (1918) The grapsoid crabs of America. Bulletin of the United States National Museum, 97, i - xxii, 1 - 461, pl. 1 - 161.","Chace, F. A. & Hobbs, H. H. (1969) The freshwater and terrestrial decapod crustaceans of the West Indies with special reference to Dominica. Bredin-Archbold-Smithsonian Biological Survey of Dominica. Bulletin United States National Museum, 292, v + 1 - 258, pl. 1 - 5.","Manning, R. B. (1963) The occurrence of Pachygrapsus corrugatus (von Martens) (Decapoda, Grapsidae) in the Bahamas. Crustaceana, 5 (2), 159 - 160.","Holthuis, L. B., Edwards, A. J. & Lubbock, H. R. (1980) The Decapod and Stomatopod Crustacea of St Paul's Rocks. Zoologische Mededelingen, 56 (3), 27 - 51, pl. 1.","Manning, R. B. & Chace, F. A. (1990) Decapod and Stomatopod Crustacea from Ascension Island, South Atlantic Ocean. Smithsonian Contributions to Zoology, 503, i - v, 1 - 91.","Melo de, G. A. S. (1996) Manual de identificacao dos Brachyura (Caranguejos e Siris) do Litoral Brasileiro. Sao Paulo: Pleiade / Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP), 604 pp."]}
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36. Analysis of multicomponent LFM signals by Teager Huang-Hough transform
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Bouchikhi, Abdelkhalek, primary, Boudraa, Abdel-Ouahab, additional, Cexus, Jean-Christophe, additional, and Chonavel, Thierry, additional
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- 2014
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37. -energy operator and cross-power spectral density
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Boudraa, Abdel-Ouahab, primary, Chonavel, Thierry, additional, and Cexus, Jean-Christophe, additional
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- 2014
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38. Characterization of em sea clutter with α-stable distribution
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Fiche, Anthony, primary, Cexus, Jean-Christophe, additional, Khenchaf, Ali, additional, Rochdi, Majid, additional, and Martin, Arnaud, additional
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- 2012
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39. Some useful properties of cross--energy operator
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Boudraa, Abdel-Ouahab, primary, Benramdane, Salem, additional, Cexus, Jean-Christophe, additional, and Chonavel, Thierry, additional
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- 2009
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40. Cross ΨB-energy operator-based signal detection
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Boudraa, Abdel-Ouahab, primary, Cexus, Jean-Christophe, additional, and Abed-Meraim, Karim, additional
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- 2008
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41. On the detection of transient signals using cross-ΨB-energy operator
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Boudraa, Abdel-Ouahab, primary, Chonavel, Thierry, additional, Cexus, Jean-Christophe, additional, Benramdane, Salem, additional, and Bouchikhi, Abdelkhalek, additional
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- 2008
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42. Generalized higher-order nonlinear energy operators
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Salzenstein, Fabien, primary, Boudraa, Abdel-Ouahab, additional, and Cexus, Jean-Christophe, additional
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- 2007
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43. A revision of the genus Pachygrapsus Randall, 1840 (Crustacea: Decapoda: Brachyura, Grapsidae), with special reference to the Southwest Pacific species
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POUPIN, JOSEPH, primary, DAVIE, PETER J.F., additional, and CEXUS, JEAN CHRISTOPHE, additional
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- 2005
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44. Nonstationary signals analysis by Teager-Huang Transform (THT).
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Cexus, Jean-Christophe and Boudraa, Abdel-Ouahab
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- 2006
45. Cross ΨB-energy operator-based signal detection.
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Boudraa, Abdel-Ouahab, Cexus, Jean-Christophe, and Abed-Meraim, Karim
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SIGNAL detection , *ELECTRONICS , *SIGNAL processing , *SIGNAL theory , *STOCHASTIC information theory , *NONPARAMETRIC signal detection , *SIGNAL detection (Psychology) - Abstract
In this paper, two methods for signal detection and time-delay estimation based on the cross ΨB-energy operator are proposed. These methods are well suited for mono-component AM-FM signals. The ΨB energy operator measures how much one signal is present in another one. The peak of the ΨB operator corresponds to the maximum of interaction between the two signals. Compared to the cross-correlation function, the ΨB operator includes temporal information and relative changes of the signal which are reflected in its first and second derivatives. The discrete version of the continuous-time form of the ΨB operator, which is used in its implementation, is presented. The methods are illustrated on synthetic and real signals and the results compared to those of the matched filter and the cross correlation. The real signals correspond to impulse responses of buried objects obtained by active sonar in iso-speed single path environments. [ABSTRACT FROM AUTHOR]
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46. An Energy-Based SimilarityMeasure for Time Series.
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Boudraa, Abdel-Ouahab, Cexus, Jean-Christophe, Groussat, Mathieu, and Brunagel, Pierre
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MATHEMATICAL series ,MATHEMATICAL sequences ,ARITHMETIC series ,MATHEMATICAL analysis ,NUMERICAL analysis ,COMPUTER programming ,ELECTRONIC data processing ,STOCHASTIC analysis ,MATHEMATICAL optimization - Abstract
A new similarity measure, called SimilB, for time series analysis, based on the cross-Ψ
B -energy operator (2004), is introduced. ΨB is a nonlinear measure which quantifies the interaction between two time series. Compared to Euclidean distance (ED) or the Pearson correlation coefficient (CC), SimilB includes the temporal information and relative changes of the time series using the first and second derivatives of the time series. SimilB is well suited for both nonstationary and stationary time series and particularly those presenting discontinuities. Some new properties of ΨB are presented. Particularly, we show that ΨB as similarity measure is robust to both scale and time shift. SimilB is illustrated with synthetic time series and an artificial dataset and compared to the CC and the ED measures. [ABSTRACT FROM AUTHOR]- Published
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47. An Energy-Based Similarity Measure for Time Series.
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Boudraa, Abdel-Ouahab, Cexus, Jean-Christophe, Groussat, Mathieu, and Brunagel, Pierre
- Subjects
PROGRAMMING languages ,TIME Series Processor (Computer program language) ,COMPUTER programming ,ELECTRONIC data processing ,MATHEMATICAL analysis ,STOCHASTIC analysis ,MATHEMATICAL optimization ,NUMERICAL analysis ,MATHEMATICAL series - Abstract
A new similarity measure, called SimilB, for time series analysis, based on the cross-Ψ
B -energy operator (2004), is introduced. ΨB is a nonlinear measure which quantifies the interaction between two time series. Compared to Euclidean distance (ED) or the Pearson correlation coefficient (CC), SimilB includes the temporal information and relative changes of the time series using the first and second derivatives of the time series. SimilB is well suited for both nonstationary and stationary time series and particularly those presenting discontinuities. Some new properties of ΨB are presented. Particularly, we show that ΨB as similarity measure is robust to both scale and time shift. SimilB is illustrated with synthetic time series and an artificial dataset and compared to the CC and the ED measures. [ABSTRACT FROM AUTHOR]- Published
- 2008
- Full Text
- View/download PDF
48. Functional segmentation of dynamic nuclear images by cross-Ψ B-energy operator
- Author
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Boudraa, Abdel-Ouahab, Cexus, Jean-Christophe, and Zaidi, Habib
- Subjects
- *
NUCLEAR medicine , *CARDIAC imaging , *PHYSIOLOGICAL effects of radioactivity , *VISUAL perception - Abstract
Abstract: We describe a new segmentation method of dynamic nuclear medicine images based on the cross-Ψ B-energy operator. Ψ B is a nonlinear measure which quantifies the interaction between two time-signals including their first and second derivatives. Similarity measure, noted SimilB, between the time activity curve (TAC) of each pixel and the mean value of the TACs of a reference region of the scintigraphic image series is calculated. The resulting SimilB map is a functional image representing regions with different temporal dynamics. Some new properties of Ψ B are presented. Particularly, we show that Ψ B as a similarity measure is robust to both scale and time shift. The proposed method is applied to nuclear cardiac sequences for visualization and analysis of the ventricular emptying pattern, which may be useful in studying motion or conduction abnormalities. Results of a normal subject and four patients with abnormal ventricular contraction patterns are presented to highlight the suitability of this operator for studying non-stationary TAC series. [Copyright &y& Elsevier]
- Published
- 2006
- Full Text
- View/download PDF
49. Two-dimensional continuous higher-order energy operators.
- Author
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Boudraa, Abdel-Ouahab, Salzenstein, Fabien, and Cexus, Jean-Christophe
- Published
- 2005
- Full Text
- View/download PDF
50. A comparison between a Bayesian approach and a method based on continuous belief functions for pattern recognition
- Author
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Pôle STIC [Brest] (STIC) ; ENSTA Bretagne, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) ; CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB), CORDIAL (IRISA) ; CNRS - Ecole Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT) - Université de Rennes 1 - Institut National des Sciences Appliquées (INSA) - Rennes, Lab-STICC_ENSTAB_CID_TOMS ; REMS ; Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) ; CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB) - CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB) - Pôle STIC [Brest] (STIC) ; ENSTA Bretagne - ENSTA Bretagne - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) ; CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - ENSTA Bretagne - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB) - Ecole Nationale d'Ingénieurs de Brest - CNRS - Ecole Nationale d'Ingénieurs de Brest, Lab-STICC_ENSTAB_MOM_PIM ; REMS ; Extraction et Exploitation de l'Information en Environnements Incertains (E3I2) ; ENSTA Bretagne - ENSTA Bretagne - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) ; CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB) - CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB) - Pôle STIC [Brest] (STIC) ; ENSTA Bretagne - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) ; CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - ENSTA Bretagne - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB) - Ecole Nationale d'Ingénieurs de Brest - CNRS - Ecole Nationale d'Ingénieurs de Brest, Fiche, Anthony, Martin, Arnaud, Cexus, Jean-Christophe, Khenchaf, Ali, Pôle STIC [Brest] (STIC) ; ENSTA Bretagne, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) ; CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB), CORDIAL (IRISA) ; CNRS - Ecole Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT) - Université de Rennes 1 - Institut National des Sciences Appliquées (INSA) - Rennes, Lab-STICC_ENSTAB_CID_TOMS ; REMS ; Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) ; CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB) - CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB) - Pôle STIC [Brest] (STIC) ; ENSTA Bretagne - ENSTA Bretagne - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) ; CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - ENSTA Bretagne - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB) - Ecole Nationale d'Ingénieurs de Brest - CNRS - Ecole Nationale d'Ingénieurs de Brest, Lab-STICC_ENSTAB_MOM_PIM ; REMS ; Extraction et Exploitation de l'Information en Environnements Incertains (E3I2) ; ENSTA Bretagne - ENSTA Bretagne - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) ; CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB) - CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB) - Pôle STIC [Brest] (STIC) ; ENSTA Bretagne - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) ; CNRS - Université de Bretagne Occidentale (UBO) - Université de Bretagne Sud (UBS) - Télécom Bretagne - Institut Supérieur des Sciences et Technologies de Brest (ISSTB) - ENSTA Bretagne - Institut Mines-Télécom - PRES Université Européenne de Bretagne (UEB) - Ecole Nationale d'Ingénieurs de Brest - CNRS - Ecole Nationale d'Ingénieurs de Brest, Fiche, Anthony, Martin, Arnaud, Cexus, Jean-Christophe, and Khenchaf, Ali
- Abstract
International audience, The theory of belief functions in discrete domain has been employed with success for pattern recognition. However, the Bayesian approach performs well provided that once the probability density functions are well estimated. Recently, the theory of belief functions has been more and more developed to the continuous case. In this paper, we compare results obtained by a Bayesian approach and a method based on continuous belief functions to characterize seabed sediments. The probability density functions of each feature of seabed sediments are unimodal and estimated from a Gaussian model and compared with an a-stable model.
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