The polynomial matrix EVD (PEVD) is an extension of the conventional eigenvalue
decomposition (EVD) to polynomial matrices. The purpose of this article is to provide a …

Direction of arrival (DoA) estimation for sound source localization is increasingly prevalent in
modern devices. In this paper, we explore a polynomial extension to the multiple signal …

This paper presents a highly scalable modular bottleneck neural network and its application
to image dimensionality reduction and image transformation. The network is a three …

The analysis and design of broadband multichannel systems typically involves convolutive
mixing, characterised by matrices of transfer functions. Further, many broadband …

This thesis is concerned with the problem of broadband angle of arrival (AoA) estimation for
sensor arrays. There is a rich theory of narrowband solutions to the AoA problem, which …

Polynomial matrix algebra with applications Page 1 Polynomial Matrix Algebra with Applications
Stephan Weiss, Ian K. Proudler, and Fraser K. Coutts UDRC Phase 3 Consortium on …

This paper introduces an adaptation of the sequential matrix diagonalization (SMD) method
to high-dimensional functional magnetic resonance imaging (fMRI) data. SMD is currently …

Diarization systems are an essential part of many speech processing applications, such as
speaker indexing, improving automatic speech recognition (ASR) performance and making …

Introduction to polynomial matrix algebra and applications Page 1 Introduction to Polynomial
Matrix Algebra and Applications Stephan Weiss and Ian K. Proudler Centre for Signal & Image …

This thesis addresses the formulation of and solution to broadband minimum variance
distortionless response (MVDR) beamforming. Two approaches to this problem are …