期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
期号：MULTICON
页码：682
出版社：S&S Publications
摘要：Tracking of a particular sound from number of sounds in an environment is a difficult process. BlindSource separation (BSS) aims at estimating a set of source signals. The separation is said blind as we don't know themixture parameters and we try to estimate the sources by only knowing the observations. BSS is very up to date atpresent in signal processing because of the great number of applications for instance in acoustics, intelecommunications, neurobiology and in astrophysics. Recently a number of adaptive learning algorithms have beenproposed for blond source separation. Operation is based on Principal component analysis.
关键词：Blind Source Separation algorithm; Adaptive; Principal Component Analysis.
