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eess.SP2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Wenhan Li, Xiongjie Chen, Wenwu Wang +2
Differentiable particle filters are an emerging class of particle filtering methods that use neural networks to construct and learn parametric state-space models. In real-world app…
eess.SP2022
Particle Flow Gaussian Particle Filter
Karthik Comandur, Yunpeng Li, Santosh Nannuru
State estimation in non-linear models is performed by tracking the posterior distribution recursively. A plethora of algorithms have been proposed for this task. Among them, the Ga…