Blind extraction of underdetermined mixtures via time-frequency mask

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For blind source estimation problem of underdetermined and non-completely sparse signals,a novel blind extraction algorithm was proposed.The algorithm combined the non-completely sparse blind extraction algorithm with the DUET approach.It computed firstly the extraction vector of source and the norm...

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Bibliographic Details
Published in:Tongxin xuebao
Main Authors: Ming XIAO, Feng GAO, Gong-xian SUN, Sheng-li XIE
Format: Article
Language:Chinese
Published: Editorial Department of Journal on Communications 2012-08-01
Subjects:
underdetermined blind source separation
sparse component analysis
time-frequency mask
blind source extraction
Online Access:http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)08-0077-08/
Description
Summary:For blind source estimation problem of underdetermined and non-completely sparse signals,a novel blind extraction algorithm was proposed.The algorithm combined the non-completely sparse blind extraction algorithm with the DUET approach.It computed firstly the extraction vector of source and the normal vector of source direction,and then renewed the mixtures and the mixing matrix using a linear transform,and recoverd the source using time-frequency mask method finally.Several speech signal experiments demonstrate its performance and practical.
ISSN:1000-436X

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