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Chinese Academy of Sciences Institutional Repositories Grid
Blind source separation of more sources than mixtures using sparse mixture models

文献类型:期刊论文

作者Shi, ZW; Tang, HW; Tang, YY
刊名PATTERN RECOGNITION LETTERS
出版日期2005-12-01
卷号26期号:16页码:2491-2499
关键词blind source separation overcomplete representation sparse mixture model independent component analysis signal processing
ISSN号0167-8655
英文摘要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.
收录类别SCI
语种英语
WOS记录号WOS:000233307200001
源URL[http://ir.psych.ac.cn/handle/311026/14064]  
专题心理研究所_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.

入库方式: OAI收割

来源:心理研究所

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