Vertex-Frequency Analysis of Graph Signals

This book introduces new methods to analyze vertex-varying graph signals. In many real-world scenarios, the data sensing domain is not a regular grid, but a more complex network that consists of sensing points (vertices) and edges (relating the sensing points). Furthermore, sensing geometry or sign...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Stanković, Ljubiša (Editor), Sejdić, Ervin (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Signals and Communication Technology,
Subjects:
Signal processing.
Graph theory.
Neurosciences.
Signal, Speech and Image Processing.
Graph Theory.
Neuroscience.
Online Access:Full-text access
Table of Contents:
  • Introduction to Graph Signal Processing
  • Oversampled Graph Laplacian Matrix for Graph Filter Banks
  • Toward an Uncertainty Principle for Weighted Graphs
  • Graph Theoretic Uncertainty and Feasibility
  • Signal-Adapted Tight Frames on Graphs
  • Local Spectral Analysis of the Cerebral Cortex: New Gyrification Indices
  • Intrinsic Geometric Information Transfer Learning on Multiple Graph-Structured Datasets.

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