Performance bounds of distributed adaptive filters with cooperative correlated signals
文献类型:期刊论文
作者 | Chen, Chen1; Liu, Zhixin2; Guo, Lei2; Liu Zhixin![]() ![]() |
刊名 | SCIENCE CHINA-INFORMATION SCIENCES
![]() |
出版日期 | 2016-11-01 |
卷号 | 59期号:11页码:10 |
关键词 | distributed adaptive filters LMS random process stochastic stability graph connectivity |
ISSN号 | 1674-733X |
DOI | 10.1007/s11432-016-0050-9 |
英文摘要 | 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. |
资助项目 | National Natural Science Foundation of China[61273221] ; National Basic Research Program of China (973)[2014CB845302] |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000402523000001 |
出版者 | SCIENCE PRESS |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/25704] ![]() |
专题 | 系统科学研究所 国家数学与交叉科学中心 |
通讯作者 | Guo, Lei |
作者单位 | 1.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 |
推荐引用方式 GB/T 7714 | Chen, Chen,Liu, Zhixin,Guo, Lei,et al. 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,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. |
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。