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2007•Journal of Civil Aviation University of ChinaRequires access

Research Progress in Blind Source Separation and Blind Signal Extraction

WU Ren-biao

Open publisher page 2 citations

Abstract

Blind source separation(BSS) and blind signal extraction(BSE) are efficient methods to recover source signals from observed signals,and they have become attractive researches in the field of signal processing.On the basis of introducing the blind signal processing model,this paper presented the concepts of BSS and BSE,also analyzed the principles and the characteristics of typical algorithms,at last pointed out new directions for the further development.

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What this paper is about

Blind source separation(BSS) and blind signal extraction(BSE) are efficient methods to recover source signals from observed signals,and they have become attractive researches in the field of signal processing.On the basis of introducing the blind signal processing model,this paper presented the concepts of BSS and BSE,also analyzed the principles and the characteristics of typical algorithms,at last pointed out new directions for the further development.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Blind source separation(BSS) and blind signal extraction(BSE) are efficient methods to recover source signals from observed signals,and they have become attractive researches in the field of signal processing.On the basis of introducing the blind signal processing model,this paper presented the concepts of BSS and BSE,also analyzed the principles and the characteristics of typical algorithms,at last pointed out new directions for the further development.

Key concepts: Blind signal separation, Blind equalization, SIGNAL (programming language), Computer science, Signal processing, Independent component analysis, Source separation, Basis (linear algebra)

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