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» Blind Extraction of Intermittent Sources
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TASLP
2010
138views more  TASLP 2010»
13 years 2 months ago
Glimpsing IVA: A Framework for Overcomplete/Complete/Undercomplete Convolutive Source Separation
Abstract--Independent vector analysis (IVA) is a method for separating convolutedly mixed signals that significantly reduces the occurrence of the well-known permutation problem in...
Alireza Masnadi-Shirazi, Wenyi Zhang, Bhaskar D. R...
ICIP
2004
IEEE
14 years 9 months ago
Joint blind separation and restoration of mixed degraded images for document analysis
We consider the problem of extracting clean images from noisy mixtures of images degraded by blur operators. This special case of source separation arises, for instance, when anal...
Anna Tonazzini, Ivan Gerace, Francesco Cricco
INTERSPEECH
2010
13 years 2 months ago
Convexity and fast speech extraction by split bregman method
A fast speech extraction (FSE) method is presented using convex optimization made possible by pause detection of the speech sources. Sparse unmixing filters are sought by l1 regul...
Meng Yu, Wenye Ma, Jack Xin, Stanley Osher
ESANN
2006
13 years 9 months ago
A simple idea to separate convolutive mixtures in an undetermined scenario
We consider a blind separation problem for undetermined mixtures of two BPSK signals in a multi-path fading channel. We use independence and frequency diversity of the two source s...
Maciej Pedzisz, Ali Mansour
IJON
2007
112views more  IJON 2007»
13 years 7 months ago
Extraction of spatio-temporal primitives of emotional body expressions
Experimental and computational studies suggest that complex motor behavior is based on simpler spatiotemporal primitives, or synergies. This has been demonstrated by application o...
Lars Omlor, Martin A. Giese