Subspace pursuit for compressive sensing signal reconstruction W Dai, O Milenkovic IEEE transactions on Information Theory 55 (5), 2230-2249, 2009 | 2873 | 2009 |
Subspace pursuit for compressive sensing: Closing the gap between performance and complexity W Dai, O Milenkovic arXiv preprint arXiv:0803.0811 803, 2008 | 277 | 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 | 243 | 2015 |
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 | 230 | 2008 |
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 | 148 | 2012 |
Compressive sensing DNA microarrays W Dai, MA Sheikh, O Milenkovic, RG Baraniuk EURASIP journal on bioinformatics and systems biology 2009, 1-12, 2008 | 111 | 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 | 93 | 2009 |
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 | 88 | 2014 |
Information theoretical and algorithmic approaches to quantized compressive sensing W Dai, O Milenkovic IEEE transactions on communications 59 (7), 1857-1866, 2011 | 88 | 2011 |
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 | 83 | 2016 |
SET: An algorithm for consistent matrix completion W Dai, O Milenkovic 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 77 | 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 | 76 | 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 | 67 | 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 | 64 | 2013 |
NLOS effect mitigation via spatial geometry exploitation in cooperative localization Y Wang, K Gu, Y Wu, W Dai, Y Shen IEEE Transactions on Wireless Communications 19 (9), 6037-6049, 2020 | 61 | 2020 |
Analysis SimCO algorithms for sparse analysis model based dictionary learning J Dong, W Wang, W Dai, MD Plumbley, ZF Han, J Chambers IEEE Transactions on Signal Processing 64 (2), 417-431, 2015 | 49 | 2015 |
Sublinear compressive sensing reconstruction via belief propagation decoding HV Pham, W Dai, O Milenkovic 2009 IEEE International Symposium on Information Theory, 674-678, 2009 | 45 | 2009 |
Weighted superimposed codes and constrained integer compressed sensing W Dai, O Milenkovic IEEE transactions on information theory 55 (5), 2215-2229, 2009 | 43 | 2009 |
A comparative study of quantized compressive sensing schemes W Dai, HV Pham, O Milenkovic 2009 IEEE International Symposium on Information Theory, 11-15, 2009 | 40 | 2009 |
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 | 39 | 2009 |