DocumentCode
3475162
Title
Blind source separation based on variable step length natural gradient algorithm
Author
Ji Ce ; Tang Baocheng ; Wang Jinyu
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2011
fDate
27-30 Sept. 2011
Firstpage
261
Lastpage
264
Abstract
This paper proposes an improved blind separation algorithm based on natural gradient. The traditional natural gradient algorithm is improved by a suitable nonlinear activation function and auto-adaptive step length. The effectiveness of the proposed algorithm can be shown in the simulation of speech signals separation.
Keywords
blind source separation; gradient methods; speech processing; autoadaptive step length; blind source separation; nonlinear activation function; speech signal separation; variable step length natural gradient algorithm; Activation Function; Adaptive Step-Size; Blind Source Separation; Natural Gradient Algorithm; speech signals;
fLanguage
English
Publisher
ieee
Conference_Titel
Awareness Science and Technology (iCAST), 2011 3rd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4577-0887-9
Type
conf
DOI
10.1109/ICAwST.2011.6163152
Filename
6163152
Link To Document