DocumentCode
3149009
Title
A novel online algorithm for blind source separation with unknown number of sources
Author
Li, Yanli ; Li, Bo
Author_Institution
Dept. of Electron. & Inf., Jingchu Inst. of Technol., Jing Men, China
fYear
2011
fDate
16-18 April 2011
Firstpage
2885
Lastpage
2888
Abstract
A novel algorithm which can online estimate number of sources and separate sources is proposed to solve the Blind Source Separation problem with unknown number of sources. First create a discriminator and threshold, and adjust the estimating number of sources via comparing the size of discriminator and threshold gradually to converge at the true number. Then use a modified natural gradient algorithm to separate the sources. Computer simulation verify the algorithm is effective and perform better than traditional algorithm.
Keywords
blind source separation; discriminators; blind source separation; computer simulation; discriminator; natural gradient algorithm; unknown source number; Blind source separation; Computational modeling; Computer simulation; Noise measurement; Principal component analysis; Speech enhancement; Blind source separation; Natural gradient algorithm; Online estimating; Unknown number of sources;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5768266
Filename
5768266
Link To Document