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Copula-based convolution for fast point-mass prediction

  • Published:2022-03 Issue: Volume:192 Page:108367
  • ISSN:0165-1684
  • Container-title:Signal Processing
  • language:en
  • Short-container-title:Signal Processing

Author:

Duník J.,Straka O.,Matoušek J.,Blasch E.

Funder

Grantová Agentura České Republiky

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference26 articles.

Cited by 8 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. Human-Machine Situation Analysis by Design;2024 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA);2024-05-07

2. Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration;2023 26th International Conference on Information Fusion (FUSION);2023-06-28

3. Distributed Point-Mass Filter with Reduced Data Transfer Using Copula Theory;2023 American Control Conference (ACC);2023-05-31

4. Point-mass Filter with Functional Decomposition of Transient Density and Two-level Convolution;IFAC-PapersOnLine;2023

5. Grid-Based Bayesian Filters With Functional Decomposition of Transient Density;IEEE Transactions on Signal Processing;2023
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