Time-frequency approach to underdetermined blind source separation
Data(s) |
06/02/2012
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Resumo |
This paper presents a new time-frequency (TF) underdetermined blind source separation approach based on Wigner-Ville distribution (WVD) and Khatri-Rao product to separate N non-stationary sources from M(M <; N) mixtures. First, an improved method is proposed for estimating the mixing matrix, where the negative value of the auto WVD of the sources is fully considered. Then after extracting all the auto-term TF points, the auto WVD value of the sources at every auto-term TF point can be found out exactly with the proposed approach no matter how many active sources there are as long as N ≤ 2M-1. Further discussion about the extraction of auto-term TF points is made and finally the numerical simulation results are presented to show the superiority of the proposed algorithm by comparing it with the existing ones.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30047001/xiang-timefrequency-2012.pdf http://hdl.handle.net/10.1109/TNNLS.2011.2177475 |
Direitos |
2011, IEEE |
Palavras-Chave | #Khatri-Rao product #underdetermined blind source separation #Wigner-Ville distribution |
Tipo |
Journal Article |