Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Measurement Science Review
Volume 20 (2020): Issue 2 (April 2020)
Open Access
Gaussian Recursive Filter for Nonlinear Systems with Finite-step Correlated Noises and Packet Dropout Compensations
Li-Guo Tan
Li-Guo Tan
,
Cheng Xu
Cheng Xu
,
Yu-Fei Wang
Yu-Fei Wang
,
Hao-Nan Wei
Hao-Nan Wei
,
Kai Zhao
Kai Zhao
and
Shen-Min Song
Shen-Min Song
| Jun 02, 2020
Measurement Science Review
Volume 20 (2020): Issue 2 (April 2020)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Jun 02, 2020
Page range:
80 - 92
Received:
Oct 10, 2019
Accepted:
Apr 30, 2020
DOI:
https://doi.org/10.2478/msr-2020-0011
Keywords
Gaussian recursive filter
,
dropout compensations
,
Gaussian approximation
,
numerical implementation
© 2020 Li-Guo Tan et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.