Robust meridian filtering

被引：0

作者：

Aysal, Tuncer C. ^{[1
,2
]}

Barner, Kenneth E. ^{[3
]}

机构：

[1] Univ Delaware, Signal Proc & Commun Grp, Newark, DE 19716 USA

[2] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ H1T3E2, Canada

[3] Univ Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PTS 1-3, PROCEEDINGS | 2007年

关键词：

nonlinear estimation; maximum-likelihood estimation; filtering;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The linear, median, myriad filtering structures are statistically related to the maximum likelihood (ML) estimates of location under Gaussian, Laplacian, and Cauchy statistics, respectively. In this paper, we propose a filtering structure based on the ML estimate of the constructed and so-called meridian statistics. Analysis and simulations presented here indicate that the proposed filtering structure exhibits characteristics more robust than that of mean, median and myriad filtering structures.

引用

页码：741 / +

页数：2