中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Blind channel identification based on noisy observation by stochastic approximation method

文献类型:期刊论文

作者Fang, HT; Chen, HF
刊名JOURNAL OF GLOBAL OPTIMIZATION
出版日期2003-11-01
卷号27期号:2-3页码:249-271
关键词stochastic approximation blind identification on-line update noisy observation strong consistency
ISSN号0925-5001
英文摘要A stochastic approximation algorithm for estimating multichannel coefficients is proposed, and the estimate is proved to converge to the true parameters a.s. up-to a constant scaling factor. The estimate is updated after receiving each new observation, so the output data need not be collected in advance. The input signal is allowed to be dependent and the observation is allowed to be corrupted by noise, but no noise statistics are used in the estimation algorithm.
WOS研究方向Operations Research & Management Science ; Mathematics
语种英语
WOS记录号WOS:000184254200008
出版者KLUWER ACADEMIC PUBL
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/18547]  
专题中国科学院数学与系统科学研究院
通讯作者Fang, HT
作者单位Chinese Acad Sci, Lab Syst & Control, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Fang, HT,Chen, HF. Blind channel identification based on noisy observation by stochastic approximation method[J]. JOURNAL OF GLOBAL OPTIMIZATION,2003,27(2-3):249-271.
APA Fang, HT,&Chen, HF.(2003).Blind channel identification based on noisy observation by stochastic approximation method.JOURNAL OF GLOBAL OPTIMIZATION,27(2-3),249-271.
MLA Fang, HT,et al."Blind channel identification based on noisy observation by stochastic approximation method".JOURNAL OF GLOBAL OPTIMIZATION 27.2-3(2003):249-271.

入库方式: OAI收割

来源:数学与系统科学研究院

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