Electronic Resource

Vertex-Frequency Analysis of Graph Signals

---

Penilaian

---

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 signal properties define the relation among sensed signal points. Even for the data sensed in the well-defined time or space domain, the introduction of new relationships among the sensing points may produce new insights in the analysis and result in more advanced data processing techniques. The data domain, in these cases and discussed in this book, is defined by a graph. Graphs exploit the fundamental relations among the data points. Processing of signals whose sensing domains are defined by graphs resulted in graph data processing as an emerging field in signal processing.

Although signal processing techniques for the analysis of time-varying signals are well established, the corresponding graph signal processing equivalent approaches are still in their infancy. This book presents novel approaches to analyze vertex-varying graph signals. The vertex-frequency analysis methods use the Laplacian or adjacency matrix to establish connections between vertex and spectral (frequency) domain in order to analyze local signal behavior where edge connections are used for graph signal localization. The book applies combined concepts from time-frequency and wavelet analyses of classical signal processing to the analysis of graph signals.
Covering analytical tools for vertex-varying applications, this book is of interest to researchers and practitioners in engineering, science, neuroscience, genome processing, just to name a few. It is also a valuable resource for postgraduate students and researchers looking to expand their knowledge of the vertex-frequency analysis theory and its applications.
The book consists of 15 chapters contributed by 41 leading researches in the field.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001987	EB0002655	621.483 015 3 Ver	Central Library (OPAC)	Available

Detail Information

Series Title

Signals and Communication Technology

Call Number

621.483 015 3 Ver

Publisher

Switzerland : Springer Cham., 2018

Collation

xv, 507p.:Ill

Language

English

ISBN/ISSN

978-3-030-03574-7

Classification

621.483 015 3

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Graph theory

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment