To download
Conference proceedings and other reports
Sparse non-negative super-resolution — simplified and stabilised; preprint (2018) (with A. Eftekhari, J. Tanner, B. Toader and H. Tyagi).
Compressed Neighbour Discovery using Sparse Kerdock Matrices; accepted, International Symposium on Information Theory (2018) (with R. Calderbank).
Sparse near-equiangular
tight frames with applications in full duplex wireless
communication; Global Conference on Signal and Information
Processing, Montreal, Canada (2017) (with R. Calderbank).
Compressive imaging using fast transform coding; Proceedings of the SPIE 9992, Emerging Imaging and Sensing Technologies (2016) (with R. Calderbank).
Sketching for Sequential Change-Point Detection; Global Conference on Signal and Information Processing, Orlando, USA (2015) (with Y. Xie and M. Wang).
Representation using the Weyl Transform; International Conference on Learning Representations, San Diego, USA (2015) (with Q. Qiu, R. Calderbank and G. Sapiro).
Classification of whale vocalizations using the Weyl Transform; International Conference on Acoustics, Speech and Signal Processing, Brisbane, Australia (2015) (with Y. Xian, Q. Qiu, L. Nolte, J. Lu, R. Calderbank and D. Nowacek).
Compressive Single-Pixel Imaging; IMA Conference on Mathematics in Defence, Defence Academy, Shrivenham, UK (2011).
Compressive Single-Pixel Imaging; Technical Report ERGO 11-006 (2011). This report relates to an internship carried out at SELEX Galileo Ltd, Edinburgh.
Pushing the RIP Phase Transition in Compressed Sensing; European Signal Processing Conference, Aalborg, Denmark (2010) (with J. Blanchard).
Slides
The Cascading Haar Wavelet algorithm for computing the Walsh-Hadamard Transform (Global Conference on Signal and Information Processing; Nov 2017).
Sparse near-equiangular tight frames with applications in full duplex wireless communication (Global Conference on Signal and Information Processing; Nov 2017).
Patch Weyl Transform convolutional filters for learning
image texture features (IMA Conference on the Mathematical Challenges of Big Data; Dec 2016).
Compressive imaging using fast transform coding (SPIE Security+Defence: Emerging Imaging and Sensing Technologies; Sep 2016).
Constructing matrices with optimal block coherence (SIAM Annual Meeting, Chicago, USA; Jul 2014).
A tree projection algorithm for wavelet-based sparse approximation (Biennial Conference on Numerical Analysis and Optimization, Strathclyde, UK; Jun 2013).
Compressive single-pixel imaging (IMA conference on Mathematics in Defence, Defence Academy, UK; Oct 2011).
A new recovery analysis of Iterative Hard Thresholding for compressed sensing (Signal Processing with Adaptive Sparse Structured Representations, Edinburgh, UK; Jun 2011).
On support sizes of restricted isometry constants (British Applied Mathematics Colloquium, Edinburgh, UK; Apr 2010).
Phase transitions for greedy sparse approximation algorithms (Curves and Surfaces, Avignon, France; Jun 2010).