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TASLP
2010
138views more  TASLP 2010»
13 years 6 hour 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...
ICA
2010
Springer
13 years 6 months ago
Blind Source Separation Based on Time-Frequency Sparseness in the Presence of Spatial Aliasing
In this paper, we propose a novel method for blind source separation (BSS) based on time-frequency sparseness (TF) that can estimate the number of sources and time-frequency masks,...
Benedikt Loesch, Bin Yang
ICA
2007
Springer
13 years 11 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
ICA
2004
Springer
13 years 10 months ago
Blind Separation of Nonstationary Sources by Spectral Decorrelation
Abstract. This paper demonstrates and exploits some interesting frequency-domain properties of nonstationary signals. Considering these properties, two new methods for blind separa...
Shahram Hosseini, Yannick Deville
IJON
2008
124views more  IJON 2008»
13 years 5 months ago
A dynamic algorithm for blind separation of convolutive sound mixtures
We study an efficient dynamic blind source separation algorithm of convolutive sound mixtures based on updating statistical information in the frequency domain, and minimizing the...
Jie Liu, Jack Xin, Yingyong Qi