Contrasts, independent component analysis, and blind deconvolution

被引：26

作者：

Comon, P ^{[1
]}

机构：

[1] UNSA, CNRS, Lab 13S, F-06903 Sophia Antipolis, France

来源：

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 2004年 / 18卷 / 03期

关键词：

independent component analysis; contrast criteria; blind deconvolution and equalization; MIMO linear systems;

D O I：

10.1002/acs.791

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A general definition of contrast criteria is proposed, which induces the concept of trivial filters. These optimization criteria enjoy identifiability properties, and aim at delivering outputs satisfying specific properties, such as statistical independence or a discrete character. Several ways of building new contrast criteria are described. It is then briefly elaborated on practical numerical algorithms. Copyright (C) 2004 John Wiley Sons, Ltd.

引用

页码：225 / 243

页数：19

共 64 条

[1] Prediction error method for second-order blind identification [J].