Maximum likelihood FIR filter for systems with Bernoulli distributed random delays and measurement failures-Reference-Cited by-同舟云学术

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Maximum likelihood FIR filter for systems with Bernoulli distributed random delays and measurement failures

Published:2023-04 Issue: Volume:134 Page:103904
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Zhu Yameng,Zhao Shunyi,Luan Xiaoli,Liu Fei

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

National Key Research and Development Program of China

Alexander von Humboldt-Stiftung

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference42 articles.

1. Unbiased FIR filtering of uncertain systems with randomly binary-delayed and missing data;Uribe-Murcia,2020

2. A survey of recent results in networked control systems;Hespanha;Proc. IEEE,2007

3. Robust filtering under randomly varying sensor delay with variance constraints;Wang;IEEE Trans. Circuits Syst. II, Express Briefs,2004

4. Improved Kalman filtering for systems with randomly delayed and lost measurements;Rezaei;Circuits Syst. Signal Process.,2014

5. Multisensor distributed weighted Kalman filter fusion with network delays, stochastic uncertainties, autocorrelated, and cross-correlated noises;Xing;IEEE Trans. Syst. Man Cybern. Syst.,2016

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