Title :
A new blind separation approach to ill-condition mixed sources
Author :
Liu, Hailin ; Cheung, Yiu-Ming
Author_Institution :
Fac. of Appl. Math., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
In this paper, we discuss solution property for blind separation of ill-condition mixed sources and therefore derive a sufficient and necessary condition. Further, we present a new contrast function, through which a new algorithm is proposed to directly separate the sources without time-consuming iterative steps. Under a loose condition, It is proved that any source signals theoretically satisfying the condition can he successfully separated by our method. The computer simulation shows its outstanding performance on blind source separation.
Keywords :
blind source separation; eigenvalues and eigenfunctions; blind separation approach; contrast function; generalized eigenvalue; ill-condition mixed source; source signal; Blind source separation; Computer science; Computer simulation; Eigenvalues and eigenfunctions; Iterative algorithms; Mathematics; Signal processing algorithms; Source separation; Speech processing; Wireless communication;
Conference_Titel :
VLSI Design and Video Technology, 2005. Proceedings of 2005 IEEE International Workshop on
Print_ISBN :
0-7803-9005-9
DOI :
10.1109/IWVDVT.2005.1504569