2010•Unpublished venueRequires access

Repeated blind source separation based on independent component analysis

Wenqi Ding

Abstract

Blind source separation(BSS) based on the independent component analysis(ICA) is a kind of optimal method for multi-source signal separation.For the ICA issue,the number of the test channel not being less than that of the signal source,a new method of repeated blind source separation(Re-BSS) based on power spectral analysis is proposed.This method can increase the number of test channel by means of setting a virtual signal channel.The signal simulation of one single channel and the signal processing of a practical measurement show that the proposed Re-BSS method is simple and feasible for operation and provides a new way for the further engineering application of the BSS.

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Available abstract

Key concepts: Blind signal separation, Independent component analysis, SIGNAL (programming language), Computer science, Channel (broadcasting), Source separation, Signal processing, Separation (statistics)