Blind signal extraction of signals with specified frequency band

A. Cichocki, T. Rutkowski, K. Siwek

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

23 Citations (Scopus)


Blind sources separation, independent component analysis (ICA) and related methods are promising approaches for analysis of biomedical signals, especially for EEG/MEG and fMRI data. However, most of the methods extract all sources simultaneously, so it is time consuming and not reliable especially, when the number of sensors is large (more than 100 sensors) and signals are contaminated by huge noise. The main objective of this paper is to present a new method for extraction of specific source signals using bandpass filters approach. Such a method allows us to extract source signals with specific stochastic properties, e.g., extraction of narrow band sources with specific frequency bandwidth.

Original languageEnglish
Title of host publicationNeural Networks for Signal Processing XII - Proceedings of the 2002 IEEE Signal Processing Society Workshop, NNSP 2002
EditorsSamy Bengio, Scott Douglas, Tulay Adali, Jan Larsen, Herve Bourlard
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages10
ISBN (Electronic)0780376161
Publication statusPublished - 2002
Externally publishedYes
Event12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002 - Martigny, Switzerland
Duration: 6 Sep 2002 → …

Publication series

NameNeural Networks for Signal Processing - Proceedings of the IEEE Workshop


Conference12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002
Period6/09/02 → …


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