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TSP
2011
125views more  TSP 2011»
12 years 11 months ago
Weight Adjusted Tensor Method for Blind Separation of Underdetermined Mixtures of Nonstationary Sources
—In this paper, a novel algorithm to blindly separate an instantaneous linear underdetermined mixture of nonstationary sources is proposed. It means that the number of sources ex...
Petr Tichavský, Zbynek Koldovský
ICA
2007
Springer
13 years 11 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
IJON
1998
172views more  IJON 1998»
13 years 4 months ago
Blind separation of convolved mixtures in the frequency domain
In this paper we employ information theoretic algorithms, previously used for separating instantaneous mixtures of sources, for separating convolved mixtures in the frequency doma...
Paris Smaragdis
ICASSP
2009
IEEE
13 years 11 months ago
A fast asymptotically efficient algorithm for blind separation of a linear mixture of block-wise stationary autoregressive proce
We propose a novel blind source separation algorithm called Block AutoRegressive Blind Identification (BARBI). The algorithm is asymptotically efficient in separation of instant...
Petr Tichavský, Arie Yeredor, Zbynek Koldov...
ICASSP
2011
IEEE
12 years 8 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