Blind deconvolution by modified Bussgang algorithm

被引：0

作者：

Fiori, S ^{[1
]}

Uncini, A ^{[1
]}

Piazza, F ^{[1
]}

机构：

[1] Univ Ancona, Dept Elect & Automat, I-60128 Ancona, Italy

来源：

ISCAS '99: PROCEEDINGS OF THE 1999 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL 3: ANALOG AND DIGITAL SIGNAL PROCESSING | 1999年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The 'Bussgang' is one of the most known blind deconvolution algorithms. It requires the 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.

引用

页码：1 / 4

页数：4

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