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TASLP
2010
138views more  TASLP 2010»
14 years 4 months ago
Glimpsing IVA: A Framework for Overcomplete/Complete/Undercomplete Convolutive Source Separation
Abstract--Independent vector analysis (IVA) is a method for separating convolutedly mixed signals that significantly reduces the occurrence of the well-known permutation problem in...
Alireza Masnadi-Shirazi, Wenyi Zhang, Bhaskar D. R...
ISCAS
1999
IEEE
97views Hardware» more  ISCAS 1999»
15 years 1 months ago
Monaural separation of independent acoustical components
The problem of blindly separating signal mixtures with fewer mixture components than independent signal sources is mathematically ill-defined, and requires suitable prior informat...
Gert Cauwenberghs
ICASSP
2011
IEEE
14 years 1 months ago
Exploiting multipath for blind source separation with sensor arrays
The problem of blind source separation by spatial processing is considered for convolutive mixtures of narrowband sources received by a sensor array. Multipath propagation is due ...
Giuseppe A. Fabrizio, Alfonso Farina
ICA
2004
Springer
15 years 2 months ago
Soft-LOST: EM on a Mixture of Oriented Lines
Robust clustering of data into overlapping linear subspaces is a common problem. Here we consider one-dimensional subspaces that cross the origin. This problem arises in blind sour...
Paul D. O'Grady, Barak A. Pearlmutter
ICA
2007
Springer
15 years 3 months ago
Solving the Permutation Problem in Convolutive Blind Source Separation
Abstract. This paper presents a new algorithm for solving the permutation ambiguity in convolutive blind source separation. When transformed to the frequency domain, the source sep...
Radoslaw Mazur, Alfred Mertins