DocumentCode :
3287183
Title :
Novel solution for blind deconvolution based on independent component analysis
Author :
Qian, Luo
fYear :
2011
fDate :
15-17 April 2011
Firstpage :
1495
Lastpage :
1498
Abstract :
Blind deconvolution based on independent component analysis (ICA) has become the focus of intensive research due to its potential in many applications. However there exists the question that the number of sensors is usually less than the number of source signals. In this paper, by using convolution operation to the input signal, a new algorithm based on nonlinear ICA is proposed. This algorithm is applied to extract the filter in blind deconvolution. Computer simulations show the algorithm can be employed to obtain more reliable and better estimated signals for transient impulse signal extraction.
Keywords :
blind source separation; deconvolution; independent component analysis; blind deconvolution; computer simulation; nonlinear independent component analysis; signal estimation; transient impulse signal extraction; Algorithm design and analysis; Blind source separation; Convolution; Deconvolution; Filtering algorithms; Independent component analysis; Signal processing algorithms; blind deconvolution; blind source separation; independent component analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
Type :
conf
DOI :
10.1109/ICEICE.2011.5777968
Filename :
5777968
Link To Document :
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