Title :
A new variable step-size equivariant adaptive source separation algorithm
Author :
Xie, Xiaofu ; Shi, Qingyan ; Wu, Renbiao
Author_Institution :
Civil Aviation Univ. of China, Tianjin
Abstract :
In this paper, variable step-size blind source separation (BSS) algorithms are investigated. Since it is hard to achieve both fast convergence and stable tracking performance for a given step-size, step-size is crucial for the equivariant adaptive source separation (EASI) algorithms. Firstly, the measurement of the independence for the output signals is analyzed, then, a new EASI algorithm whose step-size is changed adaptively by mutual information is proposed. Computer simulation results show that the new algorithm has satisfactory convergence and stable tracking performance.
Keywords :
blind source separation; convergence; convergence performance; mutual information; stable tracking performance; variable step-size equivariant adaptive source separation separation; Biomedical measurements; Biomedical signal processing; Blind source separation; Computer simulation; Convergence; Mutual information; Radar signal processing; Radar tracking; Signal processing algorithms; Source separation; blind source separation; equivariant adaptive source separation; mutual information; variable step-size;
Conference_Titel :
Communications, 2007. APCC 2007. Asia-Pacific Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-1374-4
Electronic_ISBN :
978-1-4244-1374-4
DOI :
10.1109/APCC.2007.4433478