mike davies
mike davies
Professor of Signal and Image Processing, University of Edinburgh
Verified email at ed.ac.uk
TitleCited byYear
Iterative hard thresholding for compressed sensing
T Blumensath, ME Davies
Applied and computational harmonic analysis 27 (3), 265-274, 2009
18162009
Iterative thresholding for sparse approximations
T Blumensath, ME Davies
Journal of Fourier analysis and Applications 14 (5-6), 629-654, 2008
9692008
A tutorial on onset detection in music signals
JP Bello, L Daudet, S Abdallah, C Duxbury, M Davies, MB Sandler
IEEE Transactions on speech and audio processing 13 (5), 1035-1047, 2005
9592005
Gradient pursuits
T Blumensath, ME Davies
IEEE Transactions on Signal Processing 56 (6), 2370-2382, 2008
5272008
Normalized iterative hard thresholding: Guaranteed stability and performance
T Blumensath, ME Davies
IEEE Journal of selected topics in signal processing 4 (2), 298-309, 2010
4022010
The cosparse analysis model and algorithms
S Nam, ME Davies, M Elad, R Gribonval
arXiv preprint arXiv:1106.4987, 2011
3802011
Sampling theorems for signals from the union of finite-dimensional linear subspaces
T Blumensath, ME Davies
IEEE Transactions on Information Theory 55 (4), 1872-1882, 2009
2812009
Source separation using single channel ICA
ME Davies, CJ James
Signal Processing 87 (8), 1819-1832, 2007
2772007
Loihi: A neuromorphic manycore processor with on-chip learning
M Davies, N Srinivasa, TH Lin, G Chinya, Y Cao, SH Choday, G Dimou, ...
IEEE Micro 38 (1), 82-99, 2018
2592018
Rank awareness in joint sparse recovery
ME Davies, YC Eldar
IEEE Transactions on Information Theory 58 (2), 1135-1146, 2012
2592012
Sparse representations in audio and music: from coding to source separation
MD Plumbley, T Blumensath, L Daudet, R Gribonval, ME Davies
Proceedings of the IEEE 98 (6), 995-1005, 2009
2342009
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
2302009
On the use of phase and energy for musical onset detection in the complex domain
JP Bello, C Duxbury, M Davies, M Sandler
IEEE Signal Processing Letters 11 (6), 553-556, 2004
2242004
Takens embedding theorems for forced and stochastic systems
J Stark, DS Broomhead, ME Davies, J Huke
Nonlinear Analysis: Theory, Methods & Applications 30 (8), 5303-5314, 1997
1871997
Complex domain onset detection for musical signals
C Duxbury, JP Bello, M Davies, M Sandler
Proc. Digital Audio Effects Workshop (DAFx) 1, 6-9, 2003
1792003
Restricted Isometry Constants WhereSparse Recovery Can Fail for
ME Davies, R Gribonval
IEEE Transactions on Information Theory 55 (5), 2203-2214, 2009
1762009
A hybrid approach to musical note onset detection
C Duxbury, M Sandler, M Davies
Proc. Digital Audio Effects Conf.(DAFX,’02), 33-38, 2002
1682002
Sparse and shift-invariant representations of music
T Blumensath, M Davies
IEEE Transactions on Audio, Speech, and Language Processing 14 (1), 50-57, 2005
1632005
Audio source separation of convolutive mixtures
N Mitianoudis, ME Davies
IEEE transactions on Speech and Audio processing 11 (5), 489-497, 2003
1592003
Fast encoding of synthetic aperture radar raw data using compressed sensing
S Bhattacharya, T Blumensath, B Mulgrew, M Davies
2007 IEEE/SP 14th Workshop on Statistical Signal Processing, 448-452, 2007
1482007
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Articles 1–20