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» An Improved Technique for Blind Audio Source Separation
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TIT
2011
113views more  TIT 2011»
13 years 3 months ago
Eigen-Inference for Energy Estimation of Multiple Sources
—This paper introduces a new method to blindly estimate the transmit power of multiple signal sources in multiantenna fading channels, when the number of sensing devices and the ...
Romain Couillet, Jack W. Silverstein, Zhidong Bai,...
ICONIP
2007
13 years 10 months ago
Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation
In the paper, we present a new approach to multi-way Blind Source Separation (BSS) and corresponding 3D tensor factorization that has many potential applications in neuroscience an...
Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, Liqi...
TSP
2010
13 years 3 months ago
A low complexity blind estimator of narrowband polynomial phase signals
Consider the problem of estimating the parameters of multiple polynomial phase signals observed by a sensor array. In practice, it is difficult to maintain a precisely calibrated a...
Alon Amar, Amir Leshem, Alle-Jan van der Veen
ICA
2004
Springer
14 years 1 months ago
Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias
The analysis and characterization of atrial tachyarrhythmias requires the previous estimation of the atrial activity (AA) free from any ventricular activity and other artefacts. Th...
Francisco Castells, Jorge Igual, Vicente Zarzoso, ...
INTERSPEECH
2010
13 years 3 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...