Corpus ID: 212633663

Sampling on Graphs: From Theory to Applications

  title={Sampling on Graphs: From Theory to Applications},
  author={Yuichi Tanaka and Yonina C. Eldar and A. Ortega and G. Cheung},
The study of sampling signals on graphs, with the goal of building an analog of sampling for standard signals in the time and spatial domains, has attracted considerable attention recently. Beyond adding to the growing theory on graph signal processing (GSP), sampling on graphs has various promising applications. In this article, we review current progress on sampling over graphs focusing on theory and potential applications. Most methodologies used in graph signal sampling are designed to… Expand
5 Citations
Generalized Sampling on Graphs With Subspace and Smoothness Priors
  • 10
  • PDF
Sampling and Recovery of Graph Signals based on Graph Neural Networks
  • PDF
An ad hoc topology-based graph signal sampling
Spectral Domain Spline Graph Filter Bank
  • PDF
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison
  • D. Shuman
  • Computer Science, Engineering
  • IEEE Signal Processing Magazine
  • 2020
  • 7
  • PDF


Signals on Graphs: Uncertainty Principle and Sampling
  • 220
  • Highly Influential
  • PDF
Discrete Signal Processing on Graphs: Sampling Theory
  • 413
  • Highly Influential
  • PDF
Sampling and Recovery of Graph Signals
  • 17
  • PDF
A Distance-Based Formulation for Sampling Signals on Graphs
  • Ajinkya Jayawant, A. Ortega
  • Computer Science
  • 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2018
  • 7
  • PDF
Generalized Sampling on Graphs With A Subspace Prior
  • 3
Towards a sampling theorem for signals on arbitrary graphs
  • 159
  • PDF
Sampling of Graph Signals With Successive Local Aggregations
  • 201
  • PDF
Sampling of Graph Signals via Randomized Local Aggregations
  • 12
  • Highly Influential
  • PDF
Spectral Domain Sampling of Graph Signals
  • Yuichi Tanaka
  • Computer Science, Mathematics
  • IEEE Transactions on Signal Processing
  • 2018
  • 30
  • PDF
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
  • 2,262
  • PDF