Using the Poly-Gaussian Models to Represent non-Gaussian Signals and Noises-Reference-Cited by-同舟云学术

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Using the Poly-Gaussian Models to Represent non-Gaussian Signals and Noises

Published:2022-03-15 Issue: Volume: Page:
ISSN:
Container-title:2022 Systems of Signals Generating and Processing in the Field of on Board Communications
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Author:

Artyushenko V. M.¹,Volovach V. I.²

Affiliation:

1. Technological University,Korolev City,Russia

2. Volga Region State University of Service,Togliatty City,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9744081/9744255/09744345.pdf?arnumber=9744345

Reference7 articles.

1. Poly-Gaussian models in describing the signals of Lorenz dynamic system

2. Distributed Gaussian sum filter for discrete-time nonlinear systems with Gaussian mixture noise

3. comparative example of cyclostationary description of a non-stationary random process;shevgunov;Journal of Physics Conference Series (J Phys Conf Ser ),2019

4. Quasi-optimal Algorithm for Receiving Discrete Signals based on Polygaussian Models

5. Detection Estimation and Modulation Theory;trees;Detection Estimation and Filtering Theory Pt I,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Setting Method of Downsampling Factor and Grid Factor for NDT Relocation Algorithm in Dynamic Environment;IEEE Access;2022

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