Estimating function approach to multichannel blind deconvolution

被引：0
|
作者：
Zhang, L [1 ]
Amari, S [1 ]
Cichocki, A [1 ]
机构：
[1] RIKEN, Brain Sci Inst, Brain Style Informat Syst Res Grp, Wako, Saitama 3510198, Japan
来源：
2000 IEEE ASIA-PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS: ELECTRONIC COMMUNICATION SYSTEMS | 2000年
关键词：
D O I：
10.1109/APCCAS.2000.913568
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：587 / 590
页数：4
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