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Proceedings Paper

Blind separation of multi-Gaussian sources using B-distribution
Author(s): Jing Guo; Ying Deng
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Paper Abstract

There is an essential assumption in Blind Source separation (BSS) that the sources have no more than one Gaussian signal. This paper introduces a new BSS approach exploiting the difference in the time-frequency (t-f) spectrum of the signals to be separated. The approach uses the B. Boashash distribution to obtain t-f distribution of observed signals, then localizes the signal energy by Hough transform and obtains the estimated signals based on the diagonalization of a combined set of t-f distributions. The proposed approach allows the separation of Gaussian sources with identical spectral shape but with different t-f localization properties. Finally, the performance simulation is provided highlighting its effectiveness.

Paper Details

Date Published: 1 October 2011
PDF: 7 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828561 (1 October 2011); doi: 10.1117/12.913454
Show Author Affiliations
Jing Guo, Southwest Univ. (China)
Chongqing Univ. (China)
Ying Deng, Southwest Univ. (China)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)

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