中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Blind channel identification via stochastic approximation: constant step-size algorithms

文献类型:期刊论文

作者Yin, G; Chen, HF
刊名SYSTEMS & CONTROL LETTERS
出版日期2002-04-23
卷号45期号:5页码:347-356
关键词blind identification stochastic approximation noisy channel
ISSN号0167-6911
英文摘要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.
WOS研究方向Automation & Control Systems ; Operations Research & Management Science
语种英语
WOS记录号WOS:000174828000003
出版者ELSEVIER SCIENCE BV
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/17303]  
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.

入库方式: OAI收割

来源:数学与系统科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。