DocumentCode :
2982405
Title :
A New ICA Algorithm Based on CDF Estimation
Author :
Shangzhi, Xu ; Aihuang, Guo
Author_Institution :
Dept.of Inf. & Commun., TongJi Univ., Shanghai, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
4908
Lastpage :
4911
Abstract :
The technique of Independent component analysis can be applied in image processing, communication processing, data mining and many others. By research on score function of informax algorithm and the performance of Ext-informax algorithm while the sources include impulse signals and Gaussian signals. The results show these algorithms are not stably in these instances. A new score function according to cumulative probability distribution function of signal is proposed. All simulations show better performance than Ext-Informax algorithm under above instances.
Keywords :
Gaussian distribution; blind source separation; independent component analysis; CDF estimation; Ext-informax algorithm; Gaussian signal; ICA algorithm; cumulative probability distribution function; independent component analysis; Algorithm design and analysis; Educational institutions; Estimation; Image processing; Independent component analysis; Signal processing; Signal processing algorithms; Informax algorithm; cumulative distribution function; gaussian signal; independent component analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.1187
Filename :
5630008
Link To Document :
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