Title :
Research and simulation of blind signal separation technology
Author :
Luo, Dongfang ; Sun, Huijuan
Author_Institution :
Henan Coll. of Finance & Taxation, Zhengzhou, China
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;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057466
