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A unified identification algorithm of FIR systems based on binary observations with time-varying thresholds 期刊论文
AUTOMATICA, 2022, 卷号: 135, 页码: 14
作者:  Wang, Ying;  Zhao, Yanlong;  Zhang, Ji-Feng;  Guo, Jin
收藏  |  浏览/下载：57/0  |  提交时间：2023/02/07
System identification  Binary-valued observations  Stochastic framework  Deterministic framework  
Asymptotically Efficient Recursive Identification of FIR Systems With Binary-Valued Observations 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 2687-2700
作者:  Zhang, Hang;  Wang, Ting;  Zhao, Yanlong
收藏  |  浏览/下载：178/0  |  提交时间：2021/06/01
Finite impulse response filters  Convergence  Approximation algorithms  Adaptive control  Projection algorithms  Estimation  Control systems  Asymptotic efficiency  binary-valued observations  convergence  Cramé  r–  Rao (CR) lower bound  identification  
Asymptotic efficiency and probabilistic error bound for maximum likelihood-based identification of finite impulse response systems with binary-valued observations and unreliable communications 期刊论文
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2020, 页码: 18
作者:  Guo, Jin;  Cheng, Jing;  Xue, Wenchao;  Zhao, Yanlong
收藏  |  浏览/下载：199/0  |  提交时间：2020/10/12
binary-valued observations  FIR systems  packet losses  parameter identification  transmission errors