DocumentCode
2998476
Title
Estimating function approach to multichannel blind deconvolution
Author
Zhang, L. ; Amari, S. ; Cichocki, A.
Author_Institution
Brain-Style Inf. Syst. Res. Group, RIKEN, Saitama, Japan
fYear
2000
fDate
2000
Firstpage
587
Lastpage
590
Abstract
In this paper we study convergence and efficiency of the batch learning based on estimating functions for blind deconvolution. First the blind deconvolution problem is formulated in the framework of a semiparametric model, and a family of estimating functions is derived for blind deconvolution. Convergence rate of the batch estimator based on the estimating equation is then obtained. Superefficiency of the batch learning is proven in this framework
Keywords
blind equalisers; deconvolution; signal detection; batch learning; convergence rate; estimating equation; estimating functions; multichannel blind deconvolution; semiparametric model; superefficiency; Biosensors; Blind equalizers; Convergence; Deconvolution; Equations; Finite impulse response filter; Image recognition; Information systems; Speech recognition; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on
Conference_Location
Tianjin
Print_ISBN
0-7803-6253-5
Type
conf
DOI
10.1109/APCCAS.2000.913568
Filename
913568
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