DocumentCode
2434778
Title
Modified BSS algorithms including prior statistical information about mixing matrix
Author
Igual, Jorge ; Vergara, Luis
Author_Institution
Dept. Comunicaciones, Univ. Politecnica de Valencia, Spain
fYear
2000
fDate
2000
Firstpage
364
Lastpage
367
Abstract
In blind source separation (BSS) no prior knowledge is considered. However, due to inherent indeterminations of the problem, some arbitrary normalizing conditions are imposed on the sources or on the recovering matrix. We present a related problem: when we have some prior information about any of the elements of the mixing matrix, and how traditional solutions can be modified incorporating this information to obtain new estimators
Keywords
matrix algebra; parameter estimation; signal processing; statistical analysis; arbitrary normalizing conditions; blind source separation; estimators; mixing matrix; prior statistical information; recovering matrix; Array signal processing; Blind source separation; Contracts; Filters; Independent component analysis; Microphones; Probability density function; Signal processing; Signal processing algorithms; Source separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location
Pocono Manor, PA
Print_ISBN
0-7803-5988-7
Type
conf
DOI
10.1109/SSAP.2000.870145
Filename
870145
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