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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
ICASSP
2011
IEEE
12 years 8 months ago
Resolving FD-BSS permutation for arbitrary array in presence of spatial aliasing
This paper presents a novel method for solving the permutation problem inherent to frequency domain blind signal separation of multiple simultaneous speakers. As conventional meth...
Jani Even, Norihiro Hagita
ICIP
2009
IEEE
14 years 6 months ago
Sparsity And Morphological Diversity For Hyperspectral Data Analysis
Recently morphological diversity and sparsity have emerged as new and effective sources of diversity for Blind Source Separation. Based on these new concepts, novel methods such a...