1 October 2011 A time-frequency algorithm for noisy BSS model
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Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82853Z (2011) https://doi.org/10.1117/12.913239
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
Abstract
In most practical blind source separation (BSS) applications, the observations contain additive source noise that limits the performances of most existing BSS algorithms. In this paper, we propose a new BSS approach exploiting the difference in the time-frequency (t-f) signatures of these sources to be separated. The approach uses smooth pseudo Wigner-Ville distribution (SPWVD) to obtain t-f distribution, then localizes the signal energy by Hough transform and selects a set of spatial t-f points based on the dominant eigenvalue of SPWVD of observations. Finally, numerical performance simulations are provided highlighting its effectiveness.
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Jing Guo, Jing Guo, Xiao-Ping Zeng, Xiao-Ping Zeng, } "A time-frequency algorithm for noisy BSS model", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82853Z (1 October 2011); doi: 10.1117/12.913239; https://doi.org/10.1117/12.913239
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