In this article, we propose a machine-learning framework for parameter estimation of single-
mode Gaussian quantum states. Under a Bayesian framework, our approach estimates …

Circular (angular) random variables, such as the angle of arrival (AOA) in direction finding
systems and the phase error in digital phase-locked loops and digital phase interferometers …

We introduce an online variational Bayesian model for tracking changes in a non-stationary,
multivariate, temporal signal, using as an example the changing frequency and amplitude of …

The digital telecommunications receiver is an important context for inference methodology,
the key objective being to minimize the expected loss function in recovering the transmitted …

For a linear sensor array, using line spectra is a common technique for estimating directions
of arrival (DOA) of single-tone sources. Yet, very few papers consider multitone sources. For …

This thesis presents novel signal processing techniques and performance analysis of
futurecommunication technologies for the upcoming beyond 5G (B5G) and sixth-generation …

This paper presents a Bayesian approach to symbol and phase inference in a phase-
unsynchronized digital receiver. It primarily extends [10] to the multi-symbol case, using the …

We propose a Bayesian conjugate framework for inferring multiple phases. The framework
requires a generalisation of the von Mises distribution for multiple variables. The principal …

In this paper, two joint phase estimation and decoding algorithms based on divergence
minimization are presented for satellite coded transmissions in the presence of strong phase …

The epistemic inverse problem is treated via Bayesian inference in this paper. In particular,
the conditions for recursive computation of the required posterior inference are recalled. The …