Jakub Matousek

Orcid: 0000-0001-5014-1088

According to our database1, Jakub Matousek authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Efficient Spectral Differentiation in Grid-Based Continuous State Estimation.
Proceedings of the 27th International Conference on Information Fusion, 2024

Stochastic Integration Based Estimator: Robust Design and Stone Soup Implementation.
Proceedings of the 27th International Conference on Information Fusion, 2024

2023
Design of Efficient Point-Mass Filter for Linear and Nonlinear Dynamic Models.
IEEE Control. Syst. Lett., 2023

Design of Efficient Point-Mass Filter with Application in Terrain Aided Navigation.
CoRR, 2023

Efficient Point Mass Predictor for Continuous and Discrete Models with Linear Dynamics.
CoRR, 2023

Design of Efficient Point-Mass Filter with Terrain Aided Navigation Illustration.
Proceedings of the 26th International Conference on Information Fusion, 2023

Distributed Point-Mass Filter with Reduced Data Transfer Using Copula Theory.
Proceedings of the American Control Conference, 2023

2022
Copula-based convolution for fast point-mass prediction.
Signal Process., 2022

Density Approximation Error Assessment and Compensation in Point-Mass Filter.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
Accurate Density-Weighted Convolution for Point-Mass Filter and Predictor.
IEEE Trans. Aerosp. Electron. Syst., 2021

Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Continuous Nonlinear State Prediction by Finite Volume Method on Logically Rectangular Grids.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Conditional Density Driven Grid Design in Point-Mass Filter.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Reliable Convolution in Point-Mass Filter for a Class of Nonlinear Models.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020


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