| Dictionary learning for sparse approximations with the majorization method M Yaghoobi, T Blumensath, ME Davies IEEE Transactions on Signal Processing 57 (6), 2178-2191, 2009 | 275 | 2009 |
| Parametric dictionary design for sparse coding M Yaghoobi, L Daudet, ME Davies IEEE Transactions on Signal Processing 57 (12), 4800-4810, 2009 | 135 | 2009 |
| Iterative hard thresholding and l0 regularisation T Blumensath, M Yaghoobi, ME Davies 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 121 | 2007 |
| Constrained overcomplete analysis operator learning for cosparse signal modelling M Yaghoobi, S Nam, R Gribonval, ME Davies IEEE Transactions on Signal Processing 61 (9), 2341-2355, 2013 | 119 | 2013 |
| Fast non-negative orthogonal matching pursuit M Yaghoobi, D Wu, ME Davies IEEE Signal Processing Letters 22 (9), 1229-1233, 2015 | 109 | 2015 |
| Analysis operator learning for overcomplete cosparse representations M Yaghoobi, S Nam, R Gribonval, ME Davies 2011 19th European Signal Processing Conference, 1470-1474, 2011 | 68 | 2011 |
| Noise aware analysis operator learning for approximately cosparse signals M Yaghoobi, S Nam, R Gribonval, ME Davies 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 53 | 2012 |
| Sparsity-based autofocus for undersampled synthetic aperture radar S Kelly, M Yaghoobi, M Davies IEEE Transactions on Aerospace and Electronic Systems 50 (2), 972-986, 2014 | 47 | 2014 |
| Sparse hybrid precoding and combining in millimeter wave MIMO systems A Kaushik, J Thompson, M Yaghoobi Radio Propagation and Technologies for 5G (2016), 1-7, 2016 | 21 | 2016 |
| Compressible dictionary learning for fast sparse approximations M Yaghoobi, ME Davies 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 662-665, 2009 | 20 | 2009 |
| Tail of distribution GAN (TailGAN): GenerativeAdversarial-network-based boundary formation N Dionelis, M Yaghoobi, SA Tsaftaris 2020 sensor signal processing for defence conference (SSPD), 1-5, 2020 | 19 | 2020 |
| Regularized dictionary learning for sparse approximation M Yaghoobi, T Blumensath, M Davies 2008 16th European Signal Processing Conference, 1-5, 2008 | 19 | 2008 |
| Metaaudio: A few-shot audio classification benchmark C Heggan, S Budgett, T Hospedales, M Yaghoobi International Conference on Artificial Neural Networks, 219-230, 2022 | 18 | 2022 |
| Deep learning based signal detection for OFDM VLC systems NA Amran, MD Soltani, M Yaghoobi, M Safari 2020 IEEE International Conference on Communications Workshops (ICC …, 2020 | 17 | 2020 |
| Fast sparse Raman spectral unmixing for chemical fingerprinting and quantification M Yaghoobi, D Wu, RJ Clewes, ME Davies Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII …, 2016 | 17 | 2016 |
| High-resolution wide-swath IRCI-free MIMO SAR M Alshaya, M Yaghoobi, B Mulgrew IEEE Transactions on Geoscience and Remote Sensing 58 (1), 713-725, 2019 | 16 | 2019 |
| Fast non-negative orthogonal least squares M Yaghoobi, ME Davies 2015 23rd European Signal Processing Conference (EUSIPCO), 479-483, 2015 | 16 | 2015 |
| A sparse regularized model for raman spectral analysis D Wu, M Yaghoobi, S Kelly, M Davies, R Clewes 2014 Sensor Signal Processing for Defence (SSPD), 1-5, 2014 | 15 | 2014 |
| Boundary of distribution support generator (BDSG): sample generation on the boundary N Dionelis, M Yaghoobi, SA Tsaftaris 2020 IEEE International Conference on Image Processing (ICIP), 803-807, 2020 | 12 | 2020 |
| Ultrahigh resolution wide swath MIMO-SAR M AlShaya, M Yaghoobi, B Mulgrew IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 12 | 2020 |
mike daviesProfessor of Signal and Image Processing, University of EdinburghDirección de correo verificada de ed.ac.uk
