Title :
A Survey of Using Sign Function to Improve The Performance of EASI Algorithm
Author :
Yuan, Lianxi ; Sun, Zhuomin
Author_Institution :
Harbin Eng. Univ., Longjiang
Abstract :
Blind signal processing (BSP) is attractive in the signal processing. Blind source separation (BSS) is one of the main components in blind signal processing. In this paper, the basic model and mathematical principle of BSS was presented. One of BSS algorithms, EASI (equivariant adaptive separation via independence), was reviewed. Then a new algorithm based on EASI was proposed in order to reduce complexity of algorithm computation. The results of simulation experiment prove the superior performance than conventional EASI both in convergence rate and computation complexity.
Keywords :
blind source separation; computational complexity; blind signal processing; blind source separation; computational complexity; equivariant adaptive separation via independence; sign function; Acoustic signal processing; Acoustical engineering; Adaptive signal processing; Blind source separation; Convergence; Educational institutions; Mathematical model; Signal processing algorithms; Source separation; Speech; Blind Signal Processing; Blind Source Separation; EASI;
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
DOI :
10.1109/ICMA.2007.4303941
