Using Modified Conditional Second-Order Statistics in Blind Source Separation in Noisy Environment

Author

Zoghi, M.R. ; Kahaei, M.H.

Author_Institution

Iran Univ. of Sci. & Technol. (IUST), Tehran

fYear

2007

fDate

13-16 May 2007

Firstpage

247

Lastpage

251

Abstract

Higher-order statistics (HOS) has been proposed as a solution to blind separation of an instantaneous mixture of sources with the same PSDs. However, in this paper, we´ll introduce a new method based on the first and second order of conditional statistics and modifying it for noisy sensor conditions. Comparing the performance of our newly proposed algorithm with that of the previous ones, it is demonstrated that our newly proposed algorithm results in a better result.

Keywords

blind source separation; higher order statistics; blind source separation; conditional statistics; higher-order statistics; modified conditional second-order statistics; noisy environment; noisy sensor conditions; Autocorrelation; Blind source separation; Covariance matrix; Higher order statistics; Iterative methods; Probability density function; Signal generators; Source separation; Symmetric matrices; Working environment noise; Blind Source Separation; bias removal technique; conditional statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Systems and Applications, 2007. AICCSA '07. IEEE/ACS International Conference on

Conference_Location

Amman

Print_ISBN

1-4244-1030-4

Electronic_ISBN

1-4244-1031-2

Type

conf

DOI

10.1109/AICCSA.2007.370890

Filename

4230965