DocumentCode :
1610298
Title :
Studies on Estimation of the Sources Number in Blind Source Separation Problems
Author :
Ishibashi, Takaaki ; Inoue, Katsuhiro ; Gotanda, Hiromu ; Kumamaru, Kousuke
Author_Institution :
Graduate Sch. of Comput. Sci. & Syst. Eng., Kyushu Inst. of Technol., Fukuoka
fYear :
2006
Firstpage :
5169
Lastpage :
5174
Abstract :
ICA (Independent Component Analysis) can separate unknown source signals from their mixture signals without information on the transfer functions, provided that the sources are statistically independent. When the number of the source signals is equal to that of the observed signals, the original sources can be recovered except for indeterminacy of scale and permutation. However, the number of the sources is unknown in a real environment. In this paper, we propose an estimation method for the number of the sources based on the joint distribution of the observed signals under two-sensor configuration. From several simulation results, it is found that the number of the sources is coincident to that of peaks in the histogram of the distribution
Keywords :
blind source separation; estimation theory; independent component analysis; blind source separation problems; independent component analysis; signal sources number estimation; two-sensor configuration; Acoustic noise; Blind source separation; Computer science; Frequency; Histograms; Independent component analysis; Speech recognition; Systems engineering and theory; Transfer functions; Working environment noise; Blind Source Separation; Independent Component Analysis; Sources Number Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
Type :
conf
DOI :
10.1109/SICE.2006.315677
Filename :
4108697
Link To Document :
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