Blind system identification

Author

Abed-Meraim, Karim ; Qiu, Wanzhi ; Hua, Yingbo

Author_Institution

Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia

Volume

85

Issue

8

fYear

1997

fDate

8/1/1997 12:00:00 AM

Firstpage

1310

Lastpage

1322

Abstract

Blind system identification (BSI) is a fundamental signal processing technology aimed at retrieving a system´s unknown information from its output only. This technology has a wide range of possible applications such as mobile communications, speech reverberation cancellation, and blind image restoration. This paper reviews a number of recently developed concepts and techniques for BSI, which include the concept of blind system identifiability in a deterministic framework, the blind techniques of maximum likelihood and subspace for estimating the system´s impulse response, and other techniques for direct estimation of the system input

Keywords

identification; image restoration; maximum likelihood estimation; mobile communication; reviews; signal processing; speech processing; transient response; blind image restoration; blind system identification; deterministic framework; impulse response estimation; maximum likelihood; mobile communications; signal processing technology; speech reverberation cancellation; subspace; system input estimation; Australia; Blind equalizers; Convolution; Data communication; Deconvolution; Maximum likelihood estimation; Mobile communication; Signal processing; Speech recognition; System identification;

fLanguage

English

Journal_Title

Proceedings of the IEEE

Publisher

ieee

ISSN

0018-9219

Type

jour

DOI

10.1109/5.622507

Filename

622507