2020
Optimum Kernel Particle Filter for Asymmetric Laplace Noise
ICASSP 2020accepted
In this paper we present on-line Bayesian filtering methods for time series models corrupted by asymmetric Laplace noise. An optimum kernel particle filter is designed for the general asymmetric case, and its performance is compared to that of a traditional bootstrap filter and a newly designed Rao-…