Blind Separation of Biosignals Using Independent Component Analysis
Zhou Weidong
Abstract：The independent component analysis(ICA)for blind source separation and the Extended ICA algorithm are introduced in this paper. The algorithm does not need to calculate the higher order statistics of signals,and has the property of fast convergence. The experimental results for separation of speech and EEG signals using the proposed algorithm is presented.
Keywords：Blind source separation(BSS) Independent component analysis(ICA) Neural networks Maximum likelihood estimation Electroencephalogram(EEG) Speech
Publication Date：2002-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：3( 4-6 )