CHUNLEI XU
CHUNLEI XU
Silicon Austria Lab
Verified email at silicon-austria.com
Title
Cited by
Cited by
Year
Quantized Compressive Sensing with RIP Matrices: The Benefit of Dithering
C Xu, L Jacques
Information and Inference: A Journal of the IMA, 2019
292019
1-Bit compressive sensing: Reformulation and RRSP-based sign recovery theory
YB Zhao, CL Xu
Science China Mathematics 59 (10), 2049-2074, 2016
152016
The rare eclipse problem on tiles: Quantised embeddings of disjoint convex sets
V Cambareri, C Xu, L Jacques
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
102017
1-bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing
T Feuillen, C Xu, L Vandendorpe, L Jacques
arXiv preprint arXiv:1806.05408, 2018
52018
Quantity over quality: dithered quantization for compressive radar systems
T Feuillen, C Xu, J Louveaux, L Vandendorpe, L Jacques
2019 IEEE Radar Conference (RadarConf), 1-6, 2019
32019
Taking the edge off quantization: projected back projection in dithered compressive sensing
C Xu, V Schellekens, L Jacques
The IEEE Statistical Signal Processing Workshop 2018, 2018
12018
Uniqueness Conditions for A Class of ℓ0-Minimization Problems
C Xu, YB Zhao
Asia-Pacific Journal of Operational Research 32 (01), 1540002, 2015
12015
Rare Eclipses in Quantised Random Embeddings of Disjoint Convex Sets: a Matter of Consistency?
V Cambareri, C Xu, L Jacques
Signal Processing with Adaptive Sparse Structured Representations (SPARS'17 …, 2017
2017
Sparsity optimization and RRSP-based theory far l-bit compressive sensing
C Xu
University of Birmingham, 2016
2016
The Rare Eclipse Problem in Quantised Random Embeddings: a Matter of Consistency?
V Cambareri, C Xu, L Jacques
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