Blind extraction of underdetermined mixtures via time-frequency mask

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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Main Authors: Ming XIAO, Feng GAO, Gong-xian SUN, Sheng-li XIE
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2012-08-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)08-0077-08/
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author Ming XIAO
Feng GAO
Gong-xian SUN
Sheng-li XIE
author_facet Ming XIAO
Feng GAO
Gong-xian SUN
Sheng-li XIE
author_sort Ming XIAO
collection DOAJ
description 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.
format Article
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institution OA Journals
issn 1000-436X
language zho
publishDate 2012-08-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-060e072057fa4cefb63eebe9ade8741f2025-08-20T02:34:39ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-08-0133778459664771Blind extraction of underdetermined mixtures via time-frequency maskMing XIAOFeng GAOGong-xian SUNSheng-li XIEFor 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.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)08-0077-08/underdetermined blind source separationsparse component analysistime-frequency maskblind source extraction
spellingShingle Ming XIAO
Feng GAO
Gong-xian SUN
Sheng-li XIE
Blind extraction of underdetermined mixtures via time-frequency mask
Tongxin xuebao
underdetermined blind source separation
sparse component analysis
time-frequency mask
blind source extraction
title Blind extraction of underdetermined mixtures via time-frequency mask
title_full Blind extraction of underdetermined mixtures via time-frequency mask
title_fullStr Blind extraction of underdetermined mixtures via time-frequency mask
title_full_unstemmed Blind extraction of underdetermined mixtures via time-frequency mask
title_short Blind extraction of underdetermined mixtures via time-frequency mask
title_sort blind extraction of underdetermined mixtures via time frequency mask
topic underdetermined blind source separation
sparse component analysis
time-frequency mask
blind source extraction
url http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)08-0077-08/
work_keys_str_mv AT mingxiao blindextractionofunderdeterminedmixturesviatimefrequencymask
AT fenggao blindextractionofunderdeterminedmixturesviatimefrequencymask
AT gongxiansun blindextractionofunderdeterminedmixturesviatimefrequencymask
AT shenglixie blindextractionofunderdeterminedmixturesviatimefrequencymask