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» Robust ICA for Super-Gaussian Sources
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ICANN
2010
Springer
13 years 6 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
ICA
2007
Springer
13 years 10 months ago
'Shadow BSS' for Blind Source Separation in Rapidly Time-Varying Acoustic Scenes
This paper addresses the tracking capability of blind source separation algorithms for rapidly time-varying sensor or source positions. Based on a known algorithm for blind source ...
S. Wehr, Anthony Lombard, Herbert Buchner, Walter ...
ICA
2007
Springer
14 years 13 days 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
2011
IEEE
12 years 10 months ago
A sparsity based criterion for solving the permutation ambiguity in convolutive blind source separation
In this paper, we present a new algorithm for solving the permutation ambiguity in convolutive blind source separation. A common approach for separation of convolutive mixtures is...
Radoslaw Mazur, Alfred Mertins
IDA
2009
Springer
14 years 25 days ago
Soft Dimension Reduction for ICA by Joint Diagonalization on the Stiefel Manifold
Abstract. Joint diagonalization for ICA is often performed on the orthogonal group after a pre-whitening step. Here we assume that we only want to extract a few sources after pre-w...
Fabian J. Theis, Thomas P. Cason, Pierre-Antoine A...