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Mehrdad Yaghoobi
Mehrdad Yaghoobi
Lecturer (Assistant Professor), University of Edinburgh
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
2752009
Parametric dictionary design for sparse coding
M Yaghoobi, L Daudet, ME Davies
IEEE Transactions on Signal Processing 57 (12), 4800-4810, 2009
1352009
Iterative hard thresholding and l0 regularisation
T Blumensath, M Yaghoobi, ME Davies
2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007
1212007
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
1192013
Fast non-negative orthogonal matching pursuit
M Yaghoobi, D Wu, ME Davies
IEEE Signal Processing Letters 22 (9), 1229-1233, 2015
1072015
Analysis operator learning for overcomplete cosparse representations
M Yaghoobi, S Nam, R Gribonval, ME Davies
2011 19th European Signal Processing Conference, 1470-1474, 2011
682011
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
532012
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
462014
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
202016
Compressible dictionary learning for fast sparse approximations
M Yaghoobi, ME Davies
2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 662-665, 2009
202009
Regularized dictionary learning for sparse approximation
M Yaghoobi, T Blumensath, M Davies
2008 16th European Signal Processing Conference, 1-5, 2008
192008
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
182020
Metaaudio: A few-shot audio classification benchmark
C Heggan, S Budgett, T Hospedales, M Yaghoobi
International Conference on Artificial Neural Networks, 219-230, 2022
172022
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
172020
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
172016
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
162019
Fast non-negative orthogonal least squares
M Yaghoobi, ME Davies
2015 23rd European Signal Processing Conference (EUSIPCO), 479-483, 2015
162015
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
152014
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
122020
A low-complexity sub-Nyquist sampling system for wideband radar ESM receivers
M Yaghoobi, M Lexa, F Millioz, ME Davies
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
122014
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