Title :
A new blind separation approach based on blind localization
Author :
Qingwen, Liu ; Zengfu, Wang
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
In this paper, a new approach for blind source separation (BSS) based on blind localization is presented, which makes use of the inherent relationship between separation and localization. The approach incorporates the advantages of classical algorithms of BSS and localization. It can not only determine the number of signal sources, which is difficult to deal with by traditional separation algorithms, but also reduce the adaptive learning time. The efficiency of the approach is illustrated by simulation
Keywords :
computational complexity; learning (artificial intelligence); signal reconstruction; BSS; adaptive learning time reduction; blind localization; blind source separation; efficiency; Blind source separation; Convergence; Source separation;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862517
