Performance bounds of distributed adaptive filters with cooperative correlated signals

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	Performance bounds of distributed adaptive filters with cooperative correlated signals
	Chen Chen 1; Liu Zhixin2 ; Guo Lei2
	2016
发表期刊	Science China. Information Science
ISSN	1674-733X
卷号	59 期号:11 页码:10
摘要	In 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.
语种	英语
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/25705
专题	系统科学研究所国家数学与交叉科学中心
作者单位	1.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
推荐引用方式 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.