A Spectral Graph Uncertainty Principle
Volume: 59, Issue: 7, Pages: 4338 - 4356
Published: Jul 1, 2013
Abstract
The spectral theory of graphs provides a bridge between classical signal processing and the nascent field of graph signal processing. In this paper, a spectral graph analogy to Heisenberg's celebrated uncertainty principle is developed. Just as the classical result provides a tradeoff between signal localization in time and frequency, this result provides a fundamental tradeoff between a signal's localization on a graph and in its spectral...
Paper Details
Title
A Spectral Graph Uncertainty Principle
Published Date
Jul 1, 2013
Volume
59
Issue
7
Pages
4338 - 4356
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History