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Performance bounds of distributed adaptive filters with cooperative correlated signals
Chen, Chen1; Liu, Zhixin2; Guo, Lei2
2016-11-01
Source PublicationSCIENCE CHINA-INFORMATION SCIENCES
ISSN1674-733X
Volume59Issue:11Pages:10
AbstractIn this paper, we studied the least mean-square-based distributed adaptive filters, aiming at collectively estimating a sequence of unknown signals (or time-varying parameters) from a set of noisy measurements obtained through distributed sensors. The main contribution of this paper to relevant literature is that under a general stochastic cooperative signal condition, stability and performance bounds are established for distributed filters with general connected networks without stationarity or independency assumptions imposed on the regression signals.
Keyworddistributed adaptive filters LMS random process stochastic stability graph connectivity
DOI10.1007/s11432-016-0050-9
Language英语
Funding ProjectNational Natural Science Foundation of China[61273221] ; National Basic Research Program of China (973)[2014CB845302]
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000402523000001
PublisherSCIENCE PRESS
Citation statistics
Cited Times:18[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/25705
Collection系统科学研究所
国家数学与交叉科学中心
Affiliation1.Huawei Technol Co Ltd, Lab 2012, Shannon Cognit Comp Lab, Beijing 100085, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Chen, Chen,Liu, Zhixin,Guo, Lei. Performance bounds of distributed adaptive filters with cooperative correlated signals[J]. SCIENCE CHINA-INFORMATION SCIENCES,2016,59(11):10.
APA Chen, Chen,Liu, Zhixin,&Guo, Lei.(2016).Performance bounds of distributed adaptive filters with cooperative correlated signals.SCIENCE CHINA-INFORMATION SCIENCES,59(11),10.
MLA Chen, Chen,et al."Performance bounds of distributed adaptive filters with cooperative correlated signals".SCIENCE CHINA-INFORMATION SCIENCES 59.11(2016):10.
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