Wavelets, Gaussian mixtures and Wiener filtering

被引：12

作者：

Bijaoui, A ^{[1
]}

机构：

[1] Observ Cote Azur, CNRS, Dept CERGA, URA 6527, F-06304 Nice 4, France

来源：

SIGNAL PROCESSING | 2002年 / 82卷 / 04期

关键词：

wavelet transform; Wiener filtering; adaptive filtering; Gaussian mixture;

D O I：

10.1016/S0165-1684(02)00137-8

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this short communication a non-linear Wiener filtering is obtained from a Bayesian approach of the probability density function modelled as a Gaussian mixture. Its application on the wavelet denoising leads to excellent results. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：709 / 712

页数：4

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