The `Bussgang' is one of the best known blind deconvolution algorithms. It requires prior knowledge of the source statistics as well as the deconvolution noise characteristics. In this paper we present a first attempt for making the algorithm `more blind' by replacing the original Bayesian estimator with a flexible parametric function whose parameters adapt through time. To assess the effectiveness of the proposed method, computer simulations are also presented and discussed.
Blind Deconvolution by Modified Bussgang Algorithm / Fiori, S; Uncini, Aurelio; Piazza, F.. - 3:(1999), pp. 1-4. [10.1109/ISCAS.1999.778770]
Blind Deconvolution by Modified Bussgang Algorithm
UNCINI, Aurelio;
1999
Abstract
The `Bussgang' is one of the best known blind deconvolution algorithms. It requires prior knowledge of the source statistics as well as the deconvolution noise characteristics. In this paper we present a first attempt for making the algorithm `more blind' by replacing the original Bayesian estimator with a flexible parametric function whose parameters adapt through time. To assess the effectiveness of the proposed method, computer simulations are also presented and discussed.File allegati a questo prodotto
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