50 citations · 52 across the 4 of their papers we have counts for
4 papers
Jointly Sparse Signal Recovery and Support Recovery via Deep Learning with Applications in MIMO-based Grant-Free Random Access
Ying Cui, Shuaichao Li, Wanqing Zhang
In this paper, we investigate jointly sparse signal recovery and jointly sparse support recovery in Multiple Measurement Vector (MMV) models for complex signals, which arise in man…
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…
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…
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…