Title :
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
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;
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
DOI :
10.1109/AICCSA.2007.370890
