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
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;
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
DOI :
10.1109/SSAP.2000.870145
