Maximum Likelihood identification for Linear Dynamic Systems with finite Gaussian mixture noise distribution-Reference-Cited by-同舟云学术

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Maximum Likelihood identification for Linear Dynamic Systems with finite Gaussian mixture noise distribution

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
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Author:

Bittner Gustavo,Orellana Rafael,Carvajal Rodrigo,Aguero Juan C.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8974140/8987444/08987642.pdf?arnumber=8987642

Cited by 6 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. Finite Impulse Response Errors-in-Variables System Identification Utilizing Approximated Likelihood and Gaussian Mixture Models;IEEE Access;2023

2. The Mathematical Models of Transformation non-Gaussian Random Processes in the non-Linear non-Inertial Elements;2022 24th International Conference on Digital Signal Processing and its Applications (DSPA);2022-03-30

3. Definition of the Statistical Characteristics of the Signal under Influence of Additive and Multiplicative Noise;2022 24th International Conference on Digital Signal Processing and its Applications (DSPA);2022-03-30

4. Using the Poly-Gaussian Models to Represent non-Gaussian Signals and Noises;2022 Systems of Signals Generating and Processing in the Field of on Board Communications;2022-03-15

5. On the Uncertainty Modelling for Linear Continuous-Time Systems Utilising Sampled Data and Gaussian Mixture Models;IFAC-PapersOnLine;2021

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