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ICA
2010
Springer
13 years 8 months ago
Adaptive Underdetermined ICA for Handling an Unknown Number of Sources
Independent Component Analysis is the best known method for solving blind source separation problems. In general, the number of sources must be known in advance. In many cases, pre...
Andreas Sandmair, Alam Zaib, Fernando Puente Le&oa...
ICASSP
2011
IEEE
12 years 11 months ago
A wideband doubly-sparse approach for MITO sparse filter estimation
We propose an approach for the estimation of sparse filters from a convolutive mixture of sources, exploiting the time-domain sparsity of the mixing filters and the sparsity of ...
Simon Arberet, Prasad Sudhakar, Rémi Gribon...
ICA
2007
Springer
14 years 1 months ago
Compressed Sensing and Source Separation
Abstract. Separation of underdetermined mixtures is an important problem in signal processing that has attracted a great deal of attention over the years. Prior knowledge is requir...
Thomas Blumensath, Mike E. Davies
ICASSP
2011
IEEE
12 years 11 months ago
Degenerate Unmixing Estimation Technique using the Constant Q Transform
The Degenerate Unmixing Estimation Technique (DUET) is a Blind Source Separation (BSS) algorithm for stereo audio. DUET depends on an amplitude-phase 2d histogram built from the d...
Zafar Rafii, Bryan Pardo
INTERSPEECH
2010
13 years 2 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...