Signal Recovery on Graphs: Random versus Experimentally Designed
Sampling

v1v2 (latest)

Signal Recovery on Graphs: Random versus Experimentally Designed Sampling

21 April 2015

Aarti Singh

ArXiv (abs)PDF HTML

Papers citing "Signal Recovery on Graphs: Random versus Experimentally Designed Sampling"

9 / 9 papers shown

Title
Robust recovery of bandlimited graph signals via randomized dynamical sampling Longxiu Huang Deanna Needell Sui Tang 132 6 0 28 Sep 2021
Sampling and Recovery of Graph Signals based on Graph Neural Networks Siheng Chen Maosen Li Ya Zhang 144 4 0 03 Nov 2020
Active Learning for Graph Neural Networks via Node Feature Propagation Yuexin Wu Yichong Xu Aarti Singh Yiming Yang A. Dubrawski GNN AI4CE 101 65 0 16 Oct 2019
Bayesian Design of Sampling Set for Bandlimited Graph Signals Xuan Xie Junhao Yu Hui Feng Bo Hu 121 2 0 07 Sep 2019
Fast Resampling of 3D Point Clouds via Graphs Siheng Chen Dong Tian Chen Feng A. Vetro J. Kovacevic 3DPC 93 156 0 11 Feb 2017
Global and Local Uncertainty Principles for Signals on Graphs Nathanael Perraudin B. Ricaud D. Shuman P. Vandergheynst 85 67 0 10 Mar 2016
Signal Representations on Graphs: Tools and Applications Siheng Chen R. Varma Aarti Singh J. Kovacevic 81 35 0 16 Dec 2015
Random sampling of bandlimited signals on graphs Gilles Puy Nicolas M Tremblay Rémi Gribonval P. Vandergheynst 90 158 0 16 Nov 2015
A statistical perspective of sampling scores for linear regression Siheng Chen R. Varma Aarti Singh J. Kovacevic 78 13 0 21 Jul 2015