57 citations · 148 across the 7 of their papers we have counts for
Showing 2018Show all
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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
Reconstruction-Cognizant Graph Sampling using Gershgorin Disc Alignment
Yuanchao Bai, Gene Cheung, Fen Wang +2
Graph sampling with noise is a fundamental problem in graph signal processing (GSP). Previous works assume an unbiased least square (LS) signal reconstruction scheme and select sam…
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…