Blind channel identification via stochastic approximation: constant step-size algorithms

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	Blind channel identification via stochastic approximation: constant step-size algorithms
	Yin, G ; Chen, HF
	2002-04-23
发表期刊	SYSTEMS & CONTROL LETTERS
ISSN	0167-6911
卷号	45 期号:5 页码:347-356
摘要	This work is devoted to the study of a class of recursive algorithms for blind channel identification. Using weak convergence methods, the convergence of the algorithm is obtained and the rate of convergence is ascertained. The technique discussed can also be used in the analysis of rates of convergence for decreasing step-size algorithms. (C) 2001 Elsevier Science B.V. All rights reserved.
关键词	blind identification stochastic approximation noisy channel
语种	英语
WOS研究方向	Automation & Control Systems ; Operations Research & Management Science
WOS类目	Automation & Control Systems ; Operations Research & Management Science
WOS记录号	WOS:000174828000003
出版者	ELSEVIER SCIENCE BV
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/17304
专题	中国科学院数学与系统科学研究院
通讯作者	Yin, G
作者单位	1.Wayne State Univ, Dept Math, Detroit, MI 48202 USA 2.Chinese Acad Sci, Inst Syst Sci, Lab Syst & Control, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Yin, G,Chen, HF. Blind channel identification via stochastic approximation: constant step-size algorithms[J]. SYSTEMS & CONTROL LETTERS,2002,45(5):347-356.
APA	Yin, G,&Chen, HF.(2002).Blind channel identification via stochastic approximation: constant step-size algorithms.SYSTEMS & CONTROL LETTERS,45(5),347-356.
MLA	Yin, G,et al."Blind channel identification via stochastic approximation: constant step-size algorithms".SYSTEMS & CONTROL LETTERS 45.5(2002):347-356.