50 citations · 52 across the 4 of their papers we have counts for
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cs.IT2020
Jointly Sparse Support Recovery via Deep Auto-encoder with Applications in MIMO-based Grant-Free Random Access for mMTC
Wanqing Zhang, Shuaichao Li, Ying Cui
In this paper, a data-driven approach is proposed to jointly design the common sensing (measurement) matrix and jointly support recovery method for complex signals, using a standar…
cs.IT2020
Jointly Sparse Signal Recovery via Deep Auto-Encoder and Parallel Coordinate Descent Unrolling
Shuaichao Li, Wanqing Zhang, Ying Cui
In this paper, utilizing techniques in compressed sensing, parallel optimization and deep learning, we propose a model-driven approach to jointly design the common measurement matr…
cs.IT2019★ 50 cited
Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-encoder
Shuaichao Li, Wanqing Zhang, Ying Cui +2
Sparse support recovery arises in many applications in communications and signal processing. Existing methods tackle sparse support recovery problems for a given measurement matrix…