An efficient multiple particle filter based on the variational Bayesian approach-Reference-Cited by-同舟云学术

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An efficient multiple particle filter based on the variational Bayesian approach

Published:2015-12 Issue: Volume: Page:
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Container-title:2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
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Author:

Ait-El-Fquih Boujemaa,Hoteit Ibrahim

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7381587/7394243/07394338.pdf?arnumber=7394338

Cited by 5 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. Bayesian Estimator for High-Dimensional Systems With Block-Dependent Compensation;IEEE Transactions on Instrumentation and Measurement;2023

2. State-Space Partitioning Schemes in Multiple Particle Filtering for Improved Accuracy;2022 30th European Signal Processing Conference (EUSIPCO);2022-08-29

3. Filtering with One-Step-Ahead Smoothing for Efficient Data Assimilation;Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV);2021-11-10

4. An Efficient State–Parameter Filtering Scheme Combining Ensemble Kalman and Particle Filters;Monthly Weather Review;2018-03

5. A Variational Bayesian Multiple Particle Filtering Scheme for Large-Dimensional Systems;IEEE Transactions on Signal Processing;2016-10-15

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