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Signal Extensions in Independent Component Analysis and Its Application for Real-Time Processing
Wuhan, China September 14-September 16
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2004.1357299Fourth International Conference on Co ...
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Shuxue Ding, Jie Huang, Daming Wei, Sadao Omata, "Signal Extensions in Independent Component Analysis and Its Application for Real-Time Processing," Computer and Information Technology, International Conference on, pp. 839-844, Fourth International Conference on Computer and Information Technology (CIT'04), 2004.
 
 
BibTex
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@article{ 10.1109/CIT.2004.1357299,
author = {Shuxue Ding and Jie Huang and Daming Wei and Sadao Omata},
title = {Signal Extensions in Independent Component Analysis and Its Application for Real-Time Processing},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2216-5},
pages = {839-844},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2004.1357299},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - Signal Extensions in Independent Component Analysis and Its Application for Real-Time Processing
SN - 0-7695-2216-5
SP839
EP844
A1 - Shuxue Ding,
A1 - Jie Huang,
A1 - Daming Wei,
A1 - Sadao Omata,
PY - 2004
KW - null
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Shuxue Ding, University of Aizu
Jie Huang, University of Aizu
Daming Wei, University of Aizu
Sadao Omata, Nihon University
In this paper, we investigate some issues related to real-time processing for independent component analysis (ICA), based on gradient learning with simultaneous perturbation stochastic approximation (SPSA). Real-time ICA processing is especially necessary for an application in dynamic mixing environment, since a batch type of ICA processing can work well only in a static or stationary mixing environment. Although there are many choices for an ICA object function to which SPSA can be applied, in this paper, we choose a diagonality of the non-linear correlation matrix as our object function. Theories and implementations of the algorithm are described. Results of computer simulation are also presented to demonstrate the effectiveness.
Citation:
Shuxue Ding, Jie Huang, Daming Wei, Sadao Omata, "Signal Extensions in Independent Component Analysis and Its Application for Real-Time Processing," cit, pp.839-844, Fourth International Conference on Computer and Information Technology (CIT'04), 2004
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