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pro vyhledávání: '"Sun, Zeju"'
Practical Bayes filters often assume the state distribution of each time step to be Gaussian for computational tractability, resulting in the so-called Gaussian filters. When facing nonlinear systems, Gaussian filters such as extended Kalman filter (
Externí odkaz:
http://arxiv.org/abs/2410.15832
At the beginning of this century, a real time solution of the nonlinear filtering problem without memory was proposed in [1, 2] by the third author and his collaborator, and it is later on referred to as Yau-Yau algorithm. During the last two decades
Externí odkaz:
http://arxiv.org/abs/2405.06162
Solving nonlinear filtering problems with correlated noise based on Hermite–Galerkin spectral method
Autor:
Sun, Zeju, Yau, Stephen Shing-Toung
Publikováno v:
In Automatica October 2023 156
Publikováno v:
In Fundamental Research September 2021 1(5):559-564
Publikováno v:
In Computational and Structural Biotechnology Journal 2020 18:1904-1913