Phase retrieval of real-valued signals in a shift-invariant space Y Chen, C Cheng, Q Sun, H Wang Applied and Computational Harmonic Analysis, 2018 | 45 | 2018 |
A null space analysis of the ℓ1-synthesis method in dictionary-based compressed sensing X Chen, H Wang, R Wang Applied and Computational Harmonic Analysis 37 (3), 492-515, 2014 | 29 | 2014 |
Accurate imaging of moving targets via random sensor arrays and Kerdock codes T Strohmer, H Wang Inverse Problems 29 (8), 085001, 2013 | 23 | 2013 |
Uncertainty principles and Balian–Low type theorems in principal shift-invariant spaces A Aldroubi, Q Sun, H Wang Applied and Computational Harmonic Analysis 30 (3), 337-347, 2011 | 20 | 2011 |
Sequential Adaptive Compressed Sampling via Huffman Codes. A Aldroubi, H Wang, K Zarringhalam Sampling Theory in Signal & Image Processing 10 (3), 2011 | 18 | 2011 |
Uncertainty principles in finitely generated shift-invariant spaces with additional invariance R Tessera, H Wang Journal of Mathematical Analysis and Applications 410 (1), 134-143, 2014 | 14 | 2014 |
Principal shift-invariant spaces with extra invariance nearest to observed data A Aldroubi, I Krishtal, R Tessera, H Wang Collectanea Mathematica 63 (3), 393-401, 2012 | 11 | 2012 |
Sparse MIMO radar with random sensor arrays and Kerdock codes T Strohmer, H Wang IEEE Int. Conf. Sampling Theory and Applications, 517-520, 2013 | 7 | 2013 |
Adventures in Compressive Sensing Based MIMO Radar T Strohmer, H Wang Excursions in Harmonic Analysis 3, 285-326, 2015 | 5 | 2015 |
A null space property approach to compressed sensing with frames X Chen, H Wang, R Wang arXiv preprint arXiv:1302.7074, 2013 | 5 | 2013 |
An adaptive and information theoretic method For compressed sampling A Aldroubi, H Wang Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 …, 2009 | 3 | 2009 |
Compressed sampling via Huffman codes A Aldroubi, H Wang, K Zaringhalam | | |
Compressive MIMO Radar with Random Sensor Arrays T Strohmer, H Wang | | |