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ICASSP
2011
IEEE
14 years 3 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
ICA
2012
Springer
13 years 7 months ago
Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study
Independent component analysis (ICA) is possibly the most widespread approach to solve the blind source separation (BSS) problem. Many different algorithms have been proposed, tog...
Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vig&a...
ESANN
2006
15 years 1 months ago
Non-orthogonal Support Width ICA
Independent Component Analysis (ICA) is a powerful tool with applications in many areas of blind signal processing; however, its key assumption, i.e. the statistical independence o...
John Aldo Lee, Frédéric Vrins, Miche...
ICASSP
2011
IEEE
14 years 3 months ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...
INTERSPEECH
2010
14 years 6 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...