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Asymptotically efficient non-truncated identification for FIR systems with binary-valued outputs
Wang, Ting1; Tan, Jianwei1,2; Zhao, Yanlong1,2
2018-12-01
Source PublicationSCIENCE CHINA-INFORMATION SCIENCES
ISSN1674-733X
Volume61Issue:12Pages:3
DOI10.1007/s11432-018-9646-7
Language英语
Funding ProjectChina Postdoctoral Science Foundation[2018M630216] ; National Natural Science Foundation of China[61803370] ; National Natural Science Foundation of China[61622309] ; National Key Research and Development Program of China[2016YFB0901902]
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000451472800001
PublisherSCIENCE PRESS
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/31790
Collection系统科学研究所
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wang, Ting,Tan, Jianwei,Zhao, Yanlong. Asymptotically efficient non-truncated identification for FIR systems with binary-valued outputs[J]. SCIENCE CHINA-INFORMATION SCIENCES,2018,61(12):3.
APA Wang, Ting,Tan, Jianwei,&Zhao, Yanlong.(2018).Asymptotically efficient non-truncated identification for FIR systems with binary-valued outputs.SCIENCE CHINA-INFORMATION SCIENCES,61(12),3.
MLA Wang, Ting,et al."Asymptotically efficient non-truncated identification for FIR systems with binary-valued outputs".SCIENCE CHINA-INFORMATION SCIENCES 61.12(2018):3.
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