46 citations · 235 across the 20 of their papers we have counts for
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eess.SP2018★ 45 cited
Low-complexity Graph Sampling with Noise and Signal Reconstruction via Neumann Series
Fen Wang, Gene Cheung, Yongchao Wang
Graph sampling addresses the problem of selecting a node subset in a graph to collect samples, so that a K-bandlimited signal can be reconstructed in high fidelity. Assuming an ind…
eess.SP2018★ 46 cited
Optimized Signal Distortion for PAPR Reduction of OFDM Signals with IFFT/FFT Complexity via ADMM Approaches
Yongchao Wang, Yanjiao Wang, Qingjiang Shi
In this paper, we propose two low-complexity optimization methods to reduce peak-to-average power ratio (PAPR) values of orthogonal frequency division multiplexing (OFDM) signals v…
eess.SP2018★ 29 cited
A-Optimal Sampling and Robust Reconstruction for Graph Signals via Truncated Neumann Series
Fen Wang, Yongchao Wang, Gene Cheung
Graph signal processing (GSP) studies signals that live on irregular data kernels described by graphs. One fundamental problem in GSP is sampling---from which subset of graph nodes…