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

Danilo P. Mandic, Andrzej Cichocki, Uttachai Manmontri

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы для конференциирецензирование

2 Цитирования (Scopus)

Аннотация

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.

Язык оригиналаАнглийский
Название основной публикации2003 IEEE 13th Workshop on Neural Networks for Signal Processing, NNSP 2003
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы429-438
Число страниц10
ISBN (электронное издание)0780381777
DOI
СостояниеОпубликовано - 2003
Опубликовано для внешнего пользованияДа
Событие13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003 - Toulouse, Франция
Продолжительность: 17 сент. 200319 сент. 2003

Серия публикаций

НазваниеNeural Networks for Signal Processing - Proceedings of the IEEE Workshop
Том2003-January

Конференция

Конференция13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003
Страна/TерриторияФранция
ГородToulouse
Период17/09/0319/09/03

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