Welcome to the University Defence Research Collaboration
- Color Image Restoration in the Low Photon-Count Regime Using Expectation Propagation, D. Yao, S. McLaughlin, Y. Altmann.
- OMASGAN: Out-of-distribution Minimum Anomaly Score GAN for Anomaly Detection, Nikolaos Dionelis, Sotirios Tsaftaris, Mehrdad Yaghoobi. See Video
- Self-Supervised Representation Learning: Introduction, advances, and challenges, Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales, IEEE Signal Processing Magazine
- Learning Low-Rank Models From Compressive Measurements for Efficient Projection Design, Fraser K Coutts, John Thompson, Bernard Mulgrew, SSPD 2022. See Video
A Synthesizable Approximate Linear Algebra Library ( SXLAL ) developed by WP2.1 ( WP2.1 Resource constrained smart sensor systems) can now be found online at https://github.com/wincle626/SXLAL
The work entitled "Signal Processing in the Information Age" will develop new underpinning Signal Processing and Machine Learning tools for the defence community. This core research programme is jointly led and coordinated by four universities;
University of Edinburgh, Heriot-Watt University, Queen's University Belfast and University of Strathclyde.
As well as the core grant, four application themed grants have also been awarded on the following topics:
- Imaging and Detection through Complex Media (University of Glasgow and University of Exeter)
- Electromagnetic Environment (Imperial College London and University College London)
- Acoustic Signal and Information Processing in the Underwater Environment (University of Liverpool and National Oceanography Centre, Southampton)
- SIGNetS: Signal and Information Gathering for Networked Surveillance (University of Cambridge, University of Surrey, University of Sheffield