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ICIP
2009
IEEE
14 years 6 months ago
An Overview Of Inverse Problem Regularization Using Sparsity
Sparsity constraints are now very popular to regularized inverse problems. We review several approaches which have been proposed in the last ten years to solve inverse problems su...
INTERSPEECH
2010
12 years 11 months ago
Sparse component analysis for speech recognition in multi-speaker environment
Sparse Component Analysis is a relatively young technique that relies upon a representation of signal occupying only a small part of a larger space. Mixtures of sparse components ...
Afsaneh Asaei, Hervé Bourlard, Philip N. Ga...
ICIP
2005
IEEE
13 years 10 months ago
Bayesian blind source separation for brain imaging
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
Hicham Snoussi, Vince D. Calhoun
ICMCS
2009
IEEE
171views Multimedia» more  ICMCS 2009»
13 years 2 months ago
Optimal joint linear acoustic echo cancelation and blind source separation in the presence of loudspeaker nonlinearity
Acoustic echoes represent a major source of discomfort in hands free, full-duplex, communication systems. The problem becomes particularly difficult when the loudspeakers are nonl...
Mehrez Souden, Zicheng Liu
IJON
2008
158views more  IJON 2008»
13 years 5 months ago
Blind separation of convolutive image mixtures
Convolutive mixtures of images are common in photography of semi-reflections. They also occur in microscopy and tomography. Their formation process involves focusing on an object ...
Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevs...