Research and simulation of blind signal separation technology

Author

Luo, Dongfang ; Sun, Huijuan

Author_Institution

Henan Coll. of Finance & Taxation, Zhengzhou, China

fYear

2011

fDate

16-18 Sept. 2011

Firstpage

4040

Lastpage

4042

Abstract

The blind signal separation (BSS) is a powerful signal processing method in the biomedical signal processing, array signal processing, speech recognition, image processing, mobile communications and other fields, which obtaining a wide range of applications. The natural gradient algorithm is an important method among the BSS algorithm. This paper mainly introduces the analysis of natural gradient algorithm and realizes application in the speech signal processing. Through simulation, the natural gradient algorithm gets a good signal separation result, which separating the initial signal from the mixing blind signal.

Keywords

blind source separation; array signal processing; biomedical signal processing; blind signal separation technology; image processing; mixing blind signal; mobile communication; natural gradient algorithm; speech recognition; speech signal processing; Algorithm design and analysis; Atmospheric modeling; Blind source separation; Educational institutions; Signal processing algorithms; Blind signal separation; natural gradient algorithm; signal simulation; voice signal;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2011 International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4244-8162-0

Type

conf

DOI

10.1109/ICECENG.2011.6057466

Filename

6057466