Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven Approach [Lecture Notes]
Abstract
Graphs are irregular structures that naturally represent the multifaceted data attributes; however, traditional approaches have been established outside signal processing and largely focus on analyzing the underlying graphs rather than signals on graphs. Given the rapidly increasing availability of multisensor and multinode measurements, likely recorded on irregular or ad hoc grids, it would be extremely advantageous to analyze such structured...
Paper Details
Title
Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven Approach [Lecture Notes]
Published Date
Nov 1, 2019
Volume
36
Issue
6
Pages
133 - 145
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