A Survey of Using Sign Function to Improve The Performance of EASI Algorithm

Author

Yuan, Lianxi ; Sun, Zhuomin

Author_Institution

Harbin Eng. Univ., Longjiang

fYear

2007

fDate

5-8 Aug. 2007

Firstpage

2456

Lastpage

2460

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMA.2007.4303941

Filename

4303941