Title :
Blind system identification
Author :
Abed-Meraim, Karim ; Qiu, Wanzhi ; Hua, Yingbo
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
fDate :
8/1/1997 12:00:00 AM
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;
Journal_Title :
Proceedings of the IEEE
