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A new inverse filter criterion for blind deconvolution of spiky signals using Gaussian mixtures

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4 Author(s)
Santamaria-Caballero, I. ; Dpto. Ing. Comunicaciones, ETSII Telecom-UC, Santander, Spain ; Pantaleon-Prieto, C. ; Diaz-de-Maria, F. ; Artes-Rodriguez, A.

This paper presents a new Bussgang-type technique for blind deconvolution of spiky signals. Based on a Gaussian mixture model for the spiky signal, the method obtains a deconvolution filter and a zero-memory nonlinearity to estimate the signal. A new updating procedure for the mixture parameters (and, therefore, for the nonlinear estimator) is included in the algorithm: it allows to apply the algorithm without any prior knowledge about the signal and noise. A simulation example illustrates the performance of the proposed method

Published in:

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on  (Volume:3 )

Date of Conference:

7-10 May 1996

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