Fred Goodyer

2 accepted papers

2024

Reversible Jump Markov Chain Monte Carlo for Pulse Fitting

Fred Goodyer, Bashar I. Ahmad, Simon J. Godsill

ICASSP 2024accepted

This paper proposes a reversible jump Markov chain Monte Carlo method that provides efficient inference for the general problem of pulse fitting. In particular, it minimises the potential of an adopted parametric model overfitting to the (noisy) data via the inclusion of a peak proximity parameter.…

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2023

GaPP: Multi-Target Tracking with Gaussian Processes

Fred Goodyer, Bashar I. Ahmad, Simon J. Godsill

ICASSP 2023accepted

Multi-target tracking of agile targets can be limited by choice of dynamical models. This is typically overcome by using sophisticated non-Gaussian and/or nonlinear motion models, and complex data association schemes. Here we aim to tackle scenarios when tracking (semi-)autonomous systems, such as d…

Cited by 0 Source ↗Scholar ↗