Subspace pursuit for compressive sensing signal reconstruction W Dai, O Milenkovic IEEE transactions on Information Theory 55 (5), 2230-2249, 2009 | 2340 | 2009 |
Subspace pursuit for compressive sensing: Closing the gap between performance and complexity W Dai, O Milenkovic ILLINOIS UNIV AT URBANA-CHAMAPAIGN, 2008 | 249 | 2008 |
Quantization bounds on Grassmann manifolds and applications to MIMO communications W Dai, Y Liu, B Rider IEEE Transactions on Information Theory 54 (3), 1108-1123, 2008 | 202 | 2008 |
Structured compressive sensing-based spatio-temporal joint channel estimation for FDD massive MIMO Z Gao, L Dai, W Dai, B Shim, Z Wang IEEE Transactions on Communications 64 (2), 601-617, 2015 | 144 | 2015 |
Simultaneous codeword optimization (SimCO) for dictionary update and learning W Dai, T Xu, W Wang IEEE Transactions on Signal Processing 60 (12), 6340-6353, 2012 | 123 | 2012 |
Compressive sensing DNA microarrays W Dai, MA Sheikh, O Milenkovic, RG Baraniuk EURASIP journal on bioinformatics and systems biology 2009 (1), 162824, 2008 | 91 | 2008 |
Distortion-rate functions for quantized compressive sensing W Dai, HV Pham, O Milenkovic 2009 IEEE Information Theory Workshop on Networking and Information Theory …, 2009 | 88 | 2009 |
Distortion-rate functions for quantized compressive sensing W Dai, HV Pham, O Milenkovic 2009 IEEE Information Theory Workshop on Networking and Information Theory …, 2009 | 88 | 2009 |
Information theoretical and algorithmic approaches to quantized compressive sensing W Dai, O Milenkovic IEEE transactions on communications 59 (7), 1857-1866, 2011 | 77 | 2011 |
Room-temperature synthetic NiFe layered double hydroxide with different anions intercalation as an excellent oxygen evolution catalyst Y Xu, Y Hao, G Zhang, Z Lu, S Han, Y Li, X Sun Rsc Advances 5 (68), 55131-55135, 2015 | 74* | 2015 |
Time–frequency joint sparse channel estimation for MIMO-OFDM systems W Ding, F Yang, W Dai, J Song IEEE communications letters 19 (1), 58-61, 2014 | 73 | 2014 |
Hong Kong University of Science and Technology K Tsim Hong Kong, 0 | 73 | |
SET: An algorithm for consistent matrix completion W Dai, O Milenkovic 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 62 | 2010 |
Subspace evolution and transfer (SET) for low-rank matrix completion W Dai, O Milenkovic, E Kerman IEEE Transactions on Signal Processing 59 (7), 3120-3132, 2011 | 58 | 2011 |
A geometric approach to low-rank matrix completion W Dai, E Kerman, O Milenkovic IEEE Transactions on Information Theory 58 (1), 237-247, 2012 | 51 | 2012 |
Tracking dynamic sparse signals using hierarchical Bayesian Kalman filters E Karseras, K Leung, W Dai 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 48 | 2013 |
Sublinear compressive sensing reconstruction via belief propagation decoding HV Pham, W Dai, O Milenkovic 2009 IEEE International Symposium on Information Theory, 674-678, 2009 | 47 | 2009 |
Exploiting burst-sparsity in massive MIMO with partial channel support information A Liu, VKN Lau, W Dai IEEE Transactions on Wireless Communications 15 (11), 7820-7830, 2016 | 38 | 2016 |
On the information rate of MIMO systems with finite rate channel state feedback using beamforming and power on/off strategy W Dai, Y Liu, B Rider, VKN Lau IEEE transactions on information theory 55 (11), 5032-5047, 2009 | 37 | 2009 |
Weighted superimposed codes and constrained integer compressed sensing W Dai, O Milenkovic IEEE transactions on information theory 55 (5), 2215-2229, 2009 | 37 | 2009 |