DocumentCode :
2458588
Title :
Estimation of the Number of Sources Present in Instantaneous and Anechoic Mixtures
Author :
Cheng, Bing Hwa ; Kadambe, Shubha ; Adams, Vinh ; Dewley, Wes
Author_Institution :
HRL Labs., Malibu, CA
fYear :
2006
fDate :
Oct. 29 2006-Nov. 1 2006
Firstpage :
1242
Lastpage :
1246
Abstract :
In this paper we propose a method for estimating the number of sources in the instantaneous and anechoic mixing systems without the knowledge of the system parameters. From the observation of the two or more mixing signals, we can obtain the scattering plot that consists of the phase and amplitude information of the mixing signals. Using the sparsity property of the sources in the time-frequency domain and the time-frequency coefficients of the sources form individual clusters that are resolvable, the number of sources present in a given mixed signals can be estimated by estimating the number of clusters present in the scattering plot. A criterion used for the estimation of the number of clusters is also presented in this paper. The results are shown for both synthetic and experimental (real) mixing data. From the results it can be seen that the estimation of the number of sources is 100% accurate for the examples provided.
Keywords :
blind source separation; time-frequency analysis; anechoic mixing system; blind source separation; cluster number estimation; instantaneous mixing system; scattering plot; source estimation; time-frequency coefficients; time-frequency domain; Amplitude estimation; Blind source separation; Clustering algorithms; Histograms; Laboratories; Microphone arrays; Scattering; Sensor arrays; Signal processing algorithms; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2006.354953
Filename :
4176763
Link To Document :
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