你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

Select your country

Americas

Europe

Rest of the world

portada Introduction to Graph Signal Processing
Type
Physical Book
Language
English
Format
Hardcover
Dimensions
24.4 x 17.0 x 1.9 cm
Weight
0.71 kg.
ISBN13
9781108428132

Introduction to Graph Signal Processing

Antonio Ortega (Author) · Cambridge University Press · Hardcover

Introduction to Graph Signal Processing - Ortega, Antonio

New Book Imported to Taiwan
Delivery: 08 Sep - 16 Sep Shipping: 4 to 5 business days.
NT$ 3,997
NT$ 3,997

Synopsis "Introduction to Graph Signal Processing"

An intuitive and accessible text explaining the fundamentals and applications of graph signal processing. Requiring only an elementary understanding of linear algebra, it covers both basic and advanced topics, including node domain processing, graph signal frequency, sampling, and graph signal representations, as well as how to choose a graph. Understand the basic insights behind key concepts and learn how graphs can be associated to a range of specific applications across physical, biological and social networks, distributed sensor networks, image and video processing, and machine learning. With numerous exercises and Matlab examples to help put knowledge into practice, and a solutions manual available online for instructors, this unique text is essential reading for graduate and senior undergraduate students taking courses on graph signal processing, signal processing, information processing, and data analysis, as well as researchers and industry professionals.

Customers reviews

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews