DocumentCode
698348
Title
ICA by mutual information minimization: An approach for avoiding local minima
Author
Babaie-Zadeh, Massoud ; Bahmani, Bahman ; Jutten, Christian
Author_Institution
Electr. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran
fYear
2005
fDate
4-8 Sept. 2005
Firstpage
1
Lastpage
4
Abstract
Using Mutual Information (MI) minimization is very common in Blind Source Separation (BSS). However, it is known that gradient descent approaches may trap in local minima of MI in constrained models. In this paper, it is proposed that this problem may be solved using a `poor´ estimation of the derivative of MI.
Keywords
blind source separation; gradient methods; independent component analysis; BSS; ICA; MI minimization; blind source separation; gradient descent approaches; mutual information minimization; Abstracts; Estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2005 13th European
Conference_Location
Antalya
Print_ISBN
978-160-4238-21-1
Type
conf
Filename
7077932
Link To Document