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A Survey of Blind Source Separation and Blind Deconvolution

Ju Liu

Open publisher page 11 citations

Abstract

Blind signal processing is attractive in the community of signal processing.Blind source separation and Blind deconvolution are main components in blind signal processing and advances have been developed in recent years.We introduce the basic model of blind source separation and blind deconvolution,the mathematical principle of them,and the latest progresses in research.We then analyze the characteristic of typical algorithms and point out the future development.

About this research paper

What this paper is about

Blind signal processing is attractive in the community of signal processing.Blind source separation and Blind deconvolution are main components in blind signal processing and advances have been developed in recent years.We introduce the basic model of blind source separation and blind deconvolution,the mathematical principle of them,and the latest progresses in research.We then analyze the characteristic of typical algorithms and point out the future development.

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Blind signal processing is attractive in the community of signal processing.Blind source separation and Blind deconvolution are main components in blind signal processing and advances have been developed in recent years.We introduce the basic model of blind source separation and blind deconvolution,the mathematical principle of them,and the latest progresses in research.We then analyze the characteristic of typical algorithms and point out the future development.

Key concepts: Blind signal separation, Blind deconvolution, Deconvolution, Blind equalization, Signal processing, Computer science, SIGNAL (programming language), Independent component analysis

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