Blind speech signals separation based on Borel measure peaks for under-determined mixtures

The statistical characteristics of stable distribution was briefly introduced,and a new method for identifying the independent components of an Alpha-stable random vector for under-determined mixtures was proposed.The method was based on an estimate of the discrete spectral measure for the character...

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Main Authors: GUO Wen-qiang1, QIU Tian-shuang1, ZHA Dai-feng1
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2007-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74658906/
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author GUO Wen-qiang1
QIU Tian-shuang1
ZHA Dai-feng1
author_facet GUO Wen-qiang1
QIU Tian-shuang1
ZHA Dai-feng1
author_sort GUO Wen-qiang1
collection DOAJ
description The statistical characteristics of stable distribution was briefly introduced,and a new method for identifying the independent components of an Alpha-stable random vector for under-determined mixtures was proposed.The method was based on an estimate of the discrete spectral measure for the characteristic function of an Alpha-stable random vector.Simulations demonstrate that the proposed method can identify independent components and the basis vectors of mixing matrix in the so-called under-determined case of more sources than mixtures,and obtained the good effect in the speech signals separation application.
format Article
id doaj-art-d723812c1b1643f9b2e9daa21fbc76e2
institution Kabale University
issn 1000-436X
language zho
publishDate 2007-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-d723812c1b1643f9b2e9daa21fbc76e22025-01-14T08:35:00ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2007-01-01222674658906Blind speech signals separation based on Borel measure peaks for under-determined mixturesGUO Wen-qiang1QIU Tian-shuang1ZHA Dai-feng1The statistical characteristics of stable distribution was briefly introduced,and a new method for identifying the independent components of an Alpha-stable random vector for under-determined mixtures was proposed.The method was based on an estimate of the discrete spectral measure for the characteristic function of an Alpha-stable random vector.Simulations demonstrate that the proposed method can identify independent components and the basis vectors of mixing matrix in the so-called under-determined case of more sources than mixtures,and obtained the good effect in the speech signals separation application.http://www.joconline.com.cn/zh/article/74658906/Alpha stable distributionsBorel measureindependent component analysisblind source separation
spellingShingle GUO Wen-qiang1
QIU Tian-shuang1
ZHA Dai-feng1
Blind speech signals separation based on Borel measure peaks for under-determined mixtures
Tongxin xuebao
Alpha stable distributions
Borel measure
independent component analysis
blind source separation
title Blind speech signals separation based on Borel measure peaks for under-determined mixtures
title_full Blind speech signals separation based on Borel measure peaks for under-determined mixtures
title_fullStr Blind speech signals separation based on Borel measure peaks for under-determined mixtures
title_full_unstemmed Blind speech signals separation based on Borel measure peaks for under-determined mixtures
title_short Blind speech signals separation based on Borel measure peaks for under-determined mixtures
title_sort blind speech signals separation based on borel measure peaks for under determined mixtures
topic Alpha stable distributions
Borel measure
independent component analysis
blind source separation
url http://www.joconline.com.cn/zh/article/74658906/
work_keys_str_mv AT guowenqiang1 blindspeechsignalsseparationbasedonborelmeasurepeaksforunderdeterminedmixtures
AT qiutianshuang1 blindspeechsignalsseparationbasedonborelmeasurepeaksforunderdeterminedmixtures
AT zhadaifeng1 blindspeechsignalsseparationbasedonborelmeasurepeaksforunderdeterminedmixtures