Blind source separation of more sources than mixtures using sparse mixture models

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	Blind source separation of more sources than mixtures using sparse mixture models
	Shi, ZW ; Tang, HW ; Tang, YY
摘要	In this paper, blind source separation is discussed with more sources than mixtures. This blind separation technique assumes a linear mixing model and involves two steps: (1) learning the mixing matrix for the observed data using the sparse mixture model and (2) inferring the sources by solving a linear programming problem after the mixing matrix is estimated. Through the experiments of the speech signals, we demonstrate the efficacy of this proposed approach. (c) 2005 Elsevier B.V. All rights reserved.
关键词	blind source separation overcomplete representation sparse mixture model independent component analysis signal processing
	2005-12-01
语种	英语
发表期刊	PATTERN RECOGNITION LETTERS
ISSN	0167-8655
卷号	26 期号:16 页码:2491-2499
期刊论文类型	Article
收录类别	SCI
WOS记录号	WOS:000233307200001
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/14064
专题	中国科学院心理研究所回溯数据库(1956-2010)
作者单位	1.Tsinghua Univ, Dept Automat, State Key Lab Intelligent Technol & Syst, Beijing 100084, Peoples R China 2.Dalian Univ Technol, Inst Computat Biol & Bioinformat, Dalian 116023, Peoples R China 3.Dalian Univ Technol, Inst Neuroinformat, Dalian 116023, Peoples R China 4.Chinese Acad Sci, Lab Visual Informat Proc, Beijing 100101, Peoples R China 5.Chinese Acad Sci, Key Lab Mental Hlth, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Shi, ZW,Tang, HW,Tang, YY. Blind source separation of more sources than mixtures using sparse mixture models[J]. PATTERN RECOGNITION LETTERS,2005,26(16):2491-2499.
APA	Shi, ZW,Tang, HW,&Tang, YY.(2005).Blind source separation of more sources than mixtures using sparse mixture models.PATTERN RECOGNITION LETTERS,26(16),2491-2499.
MLA	Shi, ZW,et al."Blind source separation of more sources than mixtures using sparse mixture models".PATTERN RECOGNITION LETTERS 26.16(2005):2491-2499.