Search

Your search keyword '"Belouchrani, Adel"' showing total 5 results
Start Over Author "Belouchrani, Adel" Topic performance evaluation
5 results on '"Belouchrani, Adel"'

1. Performance analysis and computational cost evaluation of high-resolution time-frequency distributions derived from compact support time-lag kernels.

Author

Abed, Mansour and Belouchrani, Adel

Subjects
*SIGNAL processing, *TIME-frequency analysis, *PULSE frequency modulation, *NONLINEAR systems, *DISTRIBUTION (Probability theory)
Abstract

This paper considers the objective performance evaluation of kernel-based time-frequency distributions (TFDs) using several concentration performance measures and resolution examination through a deep analysis of time slice plots. On the other hand, the numerical complexity of each TFD is evaluated; a parameter that is particularly critical when real-time implementation is intended. The performance of TFDs based on time-lag kernels with compact support (KCS) namely the Cheriet–Belouchrani (CB), the separable (CB) (SCB) and the polynomial CB (PCB) TFDs is compared to the well-known kernel-based TFDs using several tests on real-life and multicomponent signals with linear and nonlinear frequency modulation (FM) components including the noise effects and the influence of the kernel length. In all presented examples, the time-lag KCS TFDs, and particularly the PCB TFD, provide the best compromise between highest autoterm resolution and interference rejection while still requiring moderate computational costs thanks to the compact support nature of their kernels that reduces the number of points needing computation. On the other hand, the derived distributions do not require any smoothing window neither in time nor frequency in order to achieve the best time-frequency resolution. Furthermore, they have an extremely interesting practical advantage since their adjustment is performed by simply changing a single parameter which is integer for the PCB TFD. [ABSTRACT FROM AUTHOR]

Published
2018
Full Text
View/download PDF

2. Time-Frequency Distributions Based on Compact Support Kernels: Properties and Performance Evaluation.

Author

Abed, Mansour, Belouchrani, Adel, Cheriet, Mohamed, and Boashash, Boualem

Subjects
*TIME-frequency analysis, *KERNEL (Mathematics), *POLYNOMIALS, *ANALYSIS of covariance, *SPECTROGRAMS
Abstract

This paper presents two new time-frequency distributions (TFDs) based on kernels with compact support (KCS) namely the separable (CB) (SCB) and the polynomial CB (PCB) TFDs. The implementation of this family of TFDs follows the method developed for the Cheriet–Belouchrani (CB) TFD. The mathematical properties of these three TFDs are analyzed and their performance is compared to the best classical quadratic TFDs using several tests on multicomponent signals with linear and nonlinear frequency modulation (FM) components including the noise effects. Instead of relying solely on visual inspection of the time-frequency domain plots, comparisons include the time slices' plots and the evaluation of the Boashash–Sucic's normalized instantaneous resolution performance measure that permits to provide the optimized TFD using a specific methodology. In all presented examples, the KCS-TFDs show a significant interference rejection, with the component energy concentration around their respective instantaneous frequency laws yielding high resolution measure values. [ABSTRACT FROM AUTHOR]

Published
2012
Full Text
View/download PDF

3. ARCTANGENT ARCHITECTURE FOR HIGH SPEED AND HIGH PRECISION DATA.

Author

TAGZOUT, SAMIR and BELOUCHRANI, ADEL

Subjects
*DATA analysis, *ELECTRIC arc, *SIGNAL processing, *BOTTLENECKS (Manufacturing), *PERFORMANCE evaluation, *FIELD programmable gate arrays, *VERY large scale circuit integration
Abstract

The Arctangent function is used in several signal processing applications and it is widely needed for hardware implementations. However, it often constitutes the performance bottleneck because of its inaccuracy and/or its poor performances. We present a generic VLSI design to respond to some applications' need of fast Arctangent functions handling high precision data. The method presented here contrasts with the usual Look Up table based solutions which allow the output customization but limit the precision of the corresponding tangent input. Detailed logical design and FPGA implementation results are provided to show our solution as the best candidate to comply with fast execution as well as high precision for both input and output data. [ABSTRACT FROM AUTHOR]

Published
2011
Full Text
View/download PDF

4. Performance improvement of direction finding algorithms in non-homogeneous environment through data fusion.

Author

Cherchar, Ammar, Thameri, Messaoud, and Belouchrani, Adel

Subjects
*DATA fusion (Statistics), *DIRECTION of arrival estimation, *MULTIPLE Signal Classification, *PERFORMANCE evaluation, *COMPUTATIONAL complexity
Abstract

This paper proposes a new effective approach to improve the performance of DOA (Direction Of Arrival) algorithms when bursts affect the array data. The proposed approach is based on the combining of data fusion techniques and the results of theoretical performance analysis of conventional DOA algorithms. For this purpose, the received array data is first split in M time-segments. Then, the DOAs are estimated from each data segment using a conventional DOA algorithm. The obtained estimates are fused using the federated fusion algorithm according to their statistical accuracy obtained from the well-documented performance analysis of the considered algorithm. As proof of concept of the proposed approach, numerical experiments have been conducted by considering the MUSIC algorithm. The obtained results show that the new algorithm outperforms the conventional one in terms of accuracy in a non-homogeneous environment. Therefore, it exhibits enhanced robustness capability. Moreover, it reduces the memory cost and computational complexity which makes it suitable for real time applications. To our knowledge, it is the first time that theoretical performance analysis results are exploited for the derivation of new subspace-DOA methods. [ABSTRACT FROM AUTHOR]

Published
2015
Full Text
View/download PDF

5. QRS detection based on wavelet coefficients

Author

Zidelmal, Zahia, Amirou, Ahmed, Adnane, Mourad, and Belouchrani, Adel

Subjects
*ELECTROCARDIOGRAPHY, *COEFFICIENTS (Statistics), *DIGITAL signal processing, *MEDICAL informatics, *PERFORMANCE evaluation, *SENSITIVITY analysis, *MEDICAL statistics
Abstract

Abstract: Electrocardiogram (ECG) signal processing and analysis provide crucial information about functional status of the heart. The QRS complex represents the most important component within the ECG signal. Its detection is the first step of all kinds of automatic feature extraction. QRS detector must be able to detect a large number of different QRS morphologies. This paper examines the use of wavelet detail coefficients for the accurate detection of different QRS morphologies in ECG. Our method is based on the power spectrum of QRS complexes in different energy levels since it differs from normal beats to abnormal ones. This property is used to discriminate between true beats (normal and abnormal) and false beats. Significant performance enhancement is observed when the proposed approach is tested with the MIT-BIH arrhythmia database (MITDB). The obtained results show a sensitivity of 99.64% and a positive predictivity of 99.82%. [Copyright &y& Elsevier]

Published
2012
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results