4 results on '"One, Part"'
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2. Sequential High-Resolution Direction Finding From Higher Order Statistics
- Author
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Laurent Albera, Gwénaël Birot, Pascal Chevalier, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Thales Communications [Colombes], THALES, This work was supported in one part by the French Research Agency and in second part by the Brittany region (ACOMB-SOLARE contract )., Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), THALES [France], and Albera, Laurent
- Subjects
Underdetermined system ,Computer science ,[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing ,Higher-order statistics ,02 engineering and technology ,Upper and lower bounds ,03 medical and health sciences ,symbols.namesake ,0302 clinical medicine ,Signal-to-noise ratio ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,Robustness (computer science) ,Statistics ,0202 electrical engineering, electronic engineering, information engineering ,Electrical and Electronic Engineering ,higher-order statistics ,[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing ,Signal processing ,Noise (signal processing) ,Estimation theory ,Direction finding ,[SPI.ELEC] Engineering Sciences [physics]/Electromagnetism ,020206 networking & telecommunications ,sequential 2q-MUSIC-like techniques ,Spatial coherence ,[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism ,Gaussian noise ,Signal Processing ,virtual arrays ,symbols ,High-resolution direction finding ,Algorithm ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,030217 neurology & neurosurgery - Abstract
12 pages; International audience; The classical higher order MUSIC-like methods based on a simultaneous search for all Directions Of Arrival (DOA's) show i) a capacity for processing underdetermined mixtures of sources, ii) a high robustness with respect to both a Gaussian noise with unknown spatial coherence and modeling errors, and iii) a better resolution than algorithms based on second order statistics. However, these methods have some limits: for a finite number of samples, they show poor performance for sources exhibiting quasi-collinear DOA's. In order to overcome this drawback, two new sequential MUSIC-like algorithms are proposed in this paper, namely the 2q-D-MUSIC and the 2q-RAP-MUSIC (q>1) algorithms. These methods are based on a sequential optimization of proposed generalized noise and signal 2q-MUSIC metrics, respectively. That allows us to learn and then to take into account the level of correlation between sources. A comparative study, both in terms of performance and numerical complexity, is performed showing the interest of the proposed techniques when some sources are angularly close. Eventually, an upper bound of the maximum number of sources which can be processed by the 2q-MUSIC-like techniques is given for all q. This improves recent work on the 2q-th order virtual arrays.
- Published
- 2010
3. Blind underdetermined mixture identification by joint canonical decomposition of HO cumulants
- Author
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Gwénaël Birot, Laurent Albera, Ahmad Karfoul, Faculty of Mechanical and Electrical Engineering [Homs], Al-Baath University [Homs], Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), This work was supported in one part by the French Research Agency (ANR) and in second part by the Brittany region (ACOMB-SOLARE contract)., Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Albera, Laurent
- Subjects
0209 industrial biotechnology ,Mathematical optimization ,Underdetermined system ,[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing ,Iterative method ,Higher-order statistics ,02 engineering and technology ,Blind signal separation ,PARAFAC ,Blind underdetermined mixture identification (BUMI) ,020901 industrial engineering & automation ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] ,Canonical decomposition ,0202 electrical engineering, electronic engineering, information engineering ,ICA ,Electrical and Electronic Engineering ,BSS ,[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing ,Mathematics ,Multilinear algebra ,INDSCAL ,020206 networking & telecommunications ,[MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA] ,Independent component analysis ,[STAT.ML] Statistics [stat]/Machine Learning [stat.ML] ,Rate of convergence ,Signal Processing ,Underdetermined mixture ,Identifiability ,Algorithm ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA] - Abstract
12 pages , in one part by the ANR DECOTES Contract (), in second part by the mv-EMD Contract() and in third part by; International audience; A new family of cumulant-based algorithms is proposed in order to blindly identify potentially underdetermined mixtures of statistically independent sources. These algorithms perform a joint canonical decomposition (CAND) of several higher order cumulants through a CAND of a three-way array with special symmetries. These techniques are studied in terms of identifiability, performance and numerical complexity. From a signal processing viewpoint, the proposed methods are shown i) to have a better estimation resolution and ii) to be able to process more sources than the other classical cumulant-based techniques. Second, from a numerical analysis viewpoint, we deal with the convergence speed of several procedures for three-way array decomposition, such as the ACDC scheme. We also show how to accelerate the iterative CAND algorithms by using differently the symmetries of the considered three-way array. Next, from a multilinear algebra viewpoint the paper aims at giving some insights on the uniqueness of a joint CAND of several Hermitian multiway arrays compared to the CAND of only one array. This allows us, as a result, to extend the concept of virtual array (VA) to the case of combination of several VAs.
- Published
- 2010
4. Helping Families Thrive: Co-Designing a Program to Support Parents of Children with Medical Complexity.
- Author
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Krantz C, Hynes M, DesLauriers A, Kitcher LL, MacMillan T, Paradis D, and Curry S
- Subjects
- Child, Humans, Parents
- Abstract
Families of children with medical complexity (CMC) face significant challenges beyond those related to caring for their child's medical condition. Parents of CMC report a variety of concerns impacting their social, emotional and financial well-being. This paper details how CHEO, community organizations and parents co-designed and evaluated the Navigator Program. Through system navigation, peer support and knowledge navigation, the program offers emotional, social and economic support for parents struggling to keep up with the demands of having CMC. A best practices toolkit also provides resources to help others better support these unique families locally, provincially and nationally., (Copyright © 2021 Longwoods Publishing.)
- Published
- 2021
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