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ICA
2007
Springer
15 years 5 months ago
Two Improved Sparse Decomposition Methods for Blind Source Separation
In underdetermined blind source separation problems, it is common practice to exploit the underlying sparsity of the sources for demixing. In this work, we propose two sparse decom...
B. Vikrham Gowreesunker, Ahmed H. Tewfik
ICASSP
2008
IEEE
15 years 6 months ago
Blind source separation using monochannel overcomplete dictionaries
We propose a new approach to underdetermined Blind Source Separation (BSS) using sparse decomposition over monochannel dictionary atoms and compare it to multichannel dictionary a...
B. Vikrham Gowreesunker, Ahmed H. Tewfik
ICASSP
2008
IEEE
15 years 6 months ago
Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources
Independent component analysis (ICA) for convolutive mixtures is often applied in the frequency domain due to the desirable decoupling into independent instantaneous mixtures per ...
Graham W. Taylor, Michael L. Seltzer, Alex Acero
NECO
2010
71views more  NECO 2010»
14 years 10 months ago
Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior
Jiucang Hao, Intae Lee, Te-Won Lee, Terrence J. Se...
SPEECH
2011
14 years 6 months ago
Combining localization cues and source model constraints for binaural source separation
We describe a system for separating multiple sources from a two-channel recording based on interaural cues and prior knowledge of the statistics of the underlying source signals. ...
Ron J. Weiss, Michael I. Mandel, Daniel P. W. Elli...