An on-line algorithm for blind source extraction based on nonlinear prediction approach

Danilo P. Mandic, Andrzej Cichocki, Uttachai Manmontri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

A gradient descent based on-line algorithm for blind source extraction (BSE) of instantaneous signal mixtures is proposed. This algorithm is derived by utilising a nonlinear adaptive filter in a structure that consists of an extraction and prediction module. By exploiting the predictability property of a signal from the mixture, source signals are extracted based on the order of the nonlinear adaptive predictor. To improve the convergence of the basic algorithm, it is further globally normalised based o n t h e minimisation of the a posteriori prediction error. Next, the algorithm is made fully adaptive to compensate for the independence and other assumptions in its derivation. Two examples are presented to illustrate the performance of the algorithms.

Original languageEnglish
Title of host publication2003 IEEE 13th Workshop on Neural Networks for Signal Processing, NNSP 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages429-438
Number of pages10
ISBN (Electronic)0780381777
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003 - Toulouse, France
Duration: 17 Sep 200319 Sep 2003

Publication series

NameNeural Networks for Signal Processing - Proceedings of the IEEE Workshop
Volume2003-January

Conference

Conference13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003
Country/TerritoryFrance
CityToulouse
Period17/09/0319/09/03

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