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
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;
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
DOI :
10.1109/APCCAS.2000.913568
