What's in a frequency: new tools for graph Fourier Transform visualization

Abstract : Recent progress in graph signal processing (GSP) has addressed a number of problems, including sampling and filtering. Proposed methods have focused on generic graphs and defined signals with certain characteristics, e.g., bandlimited signals, based on the graph Fourier transform (GFT). However, the effect of GFT properties (e.g., vertex localization) on the behavior of such methods is not as well understood. In this paper, we propose novel GFT visualization tools and provide some examples to illustrate certain GFT properties and their impact on sampling or wavelet transforms.
Document type :
Conference papers
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02074862
Contributor : Benjamin Girault <>
Submitted on : Thursday, March 21, 2019 - 5:18:42 AM
Last modification on : Wednesday, April 17, 2019 - 2:31:40 AM
Long-term archiving on : Saturday, June 22, 2019 - 12:47:14 PM

File

main.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02074862, version 1
  • ARXIV : 1903.08827

Citation

Benjamin Girault, Antonio Ortega. What's in a frequency: new tools for graph Fourier Transform visualization. 2019 Information Theory and Applications Workshop, Feb 2019, San Diego, California, United States. ⟨hal-02074862⟩

Share

Metrics

Record views

23

Files downloads

26