University Defence Research Collaboration in Signal Processing

UDRC Publications

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Please note Phase 1 publications are not included in this listing and have been archived.

UDRC Publications by Phase, Date, Title and Author
Publication Title	Author(s)	Publication Date	Publication URL	Phase
Eigenvalue decomposition of a parahermitian matrix : extraction of analytic Eigenvectors	Stephan Weiss, Ian Proudler, Fraser Coutts, Faizan Khattak	Apr 2023	https://strathprints.strath.ac.uk/85235/	Phase3
Polynomial eigenvalue decomposition for multichannel broadband signal processing	Vincent W. Neo, Soydan Redif, John G. McWhirter, Jennifer Pestana, Ian K. Proudler, Stephan Weiss, Patrick A. Naylor	Apr 2023	https://strathprints.strath.ac.uk/85117/	Phase3
Non-Coherent Discrete Chirp Fourier Transform for Modulated LFM Parameter Estimation	K. Zhang, , F. K. Coutts, J. Thompson	Mar 2023	https://ieeexplore.ieee.org/document/9896195	Phase3
Space-Time Covariance Matrix Estimation: Loss of Algebraic Multiplicities of Eigenvalues	Faizan A. Khattak, Stephan Weiss, Ian K. Proudler, and John G. McWhirter	Nov 2022	https://udrc.eng.ed.ac.uk/sites/udrc.eng.ed.ac.uk/files/publications/Ste...	Phase3
Color image restoration in the low-photon count regime using Expectation-Propagation	Dan Yao, S. McLaughlin, Y. Altmann	Oct 2022	https://ieeexplore.ieee.org/document/9897838	Phase3
Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks	Linus Ericsson, Henry Gouk, Timothy M. Hospedales	Oct 2022	https://arxiv.org/abs/2111.11398	Phase3
Polynomial Eigenvalue Decomposition-Based Target Speaker Voice Activity Detection in the Presence of Competing Talkers	Vincent W. Neo, Stephan Weiss, Simon W. McKnight, Aidan O. T. Hogg, Patrick A. Naylor	Oct 2022	https://ieeexplore.ieee.org/document/9914796	Phase3
A Polynomial Subspace Projection Approach for the Detection of Weak Voice Activity	Vincent W. Neo, Stephan Weiss, Patrick A. Naylor	Sep 2022	https://ieeexplore.ieee.org/document/9896222	Phase3
Joint Undervolting and Overclocking Power Scaling Approximation on FPGAs	Y. Wu, J. F. C. Mota, A. M. Wallace	Sep 2022	https://ieeexplore.ieee.org/document/9896229	Phase3
Learning Low-Rank Models From Compressive Measurements for Efficient Projection Design	F. K. Coutts, J. Thompson, B. Mulgrew	Sep 2022	https://ieeexplore.ieee.org/document/9896186	Phase3
Automatic Approximation for 1-Dimensional Feedback-Loop Computations: a PID Benchmark	Y. Wu, Y. Zhang, A. Hamadouche, J. F. C. Mota and A. M. Wallace	Sep 2022	https://ieeexplore.ieee.org/document/9896191	Phase3
Enhanced Space-Time Covariance Estimation Based on a System Identification Approach	F. A. Khattak, I. K. Proudler, S. Weiss	Sep 2022	https://ieeexplore.ieee.org/document/9896183	Phase3
Unsupervised Expectation Propagation Method for Large-Scale Sparse Linear Inverse Problems	Dan Yao, Stephen McLaughlin, Yoann Altmann	Sep 2022	https://ieeexplore.ieee.org/document/9896226	Phase3
Efficient joint surface detection and depth estimation of single-photon Lidar data using assumed density filtering	K. Drummond, D. Yao, A. Pawlikowska, R. Lamb, S. McLaughlin, Y. Altmann	Sep 2022	https://ieeexplore.ieee.org/document/9896185	Phase3
CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition	N. Dionelis, S. A. Tsaftaris, M. Yaghoobi	Aug 2022	https://ieeexplore.ieee.org/document/9956206	Phase3
Adaptive Kernel Kalman Filter Based Belief Propagation Algorithm for Maneuvering Multi-Target Tracking	M. Sun, M. E. Davies, I. K. Proudler, J. R. Hopgood	Jun 2022	https://ieeexplore.ieee.org/document/9801627	Phase3
Efficient Reconfigurable Mixed Precision 𝓁1 Solver for Compressive Depth Reconstruction	Yun Wu, Andrew M. Wallace, João F.C. Mota, Andreas Aßmann, Brian Stewart	May 2022	https://link.springer.com/article/10.1007/s11265-022-01766-3	Phase3
On approximate Bayesian methods for large-scale linear inverse problems	Y. Altmann	May 2022	https://researchportal.hw.ac.uk/en/publications/on-approximate-bayesian-...	Phase3
Loss function learning for domain generalization by implicit gradient	Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M Hospedales	May 2022	https://www.research.ed.ac.uk/en/publications/loss-function-learning-for...	Phase3
Self-Supervised Representation Learning: Introduction, advances, and challenges	Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales	May 2022	https://ieeexplore.ieee.org/abstract/document/9770283	Phase3

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The University Defence Research Collaboration (UDRC) in Signal Processing is delivered in partnership between Dstl (the Defence Science and Technology Laboratory), The University of Edinburgh, Heriot-Watt University, The Queen's University of Belfast and University of Strathclyde.