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Performance bounds of distributed adaptive filters with cooperative correlated signals
Chen Chen1; Liu Zhixin2; Guo Lei2
2016
Source PublicationScience China. Information Science
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.
Language英语
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.Shannon Cognitive Computing Laboratory, 2012 Lab, Huawei Technologies Co. Ltd.
2.中国科学院数学与系统科学研究院
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 Science,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 Science,59(11),10.
MLA Chen Chen,et al."Performance bounds of distributed adaptive filters with cooperative correlated signals".Science China. Information Science 59.11(2016):10.
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