Sampling Theory in Fourier and Signal Analysis: Advanced Topics (Hardcover)

J.R. Higgins

ISBN 10: 0198534965 / ISBN 13: 9780198534969

Published by Oxford University Press, Oxford, 1999

About this Item

Hardcover. This is the second of a two-volume series on sampling theory. The mathematical foundations were laid in the first volume, and this book surveys the many applications of sampling theory both within mathematics and in other areas of science. Many of the topics covered here are not found in other books, and all are given an up to date treatment bringing the reader's knowledge up to research level. This book consists of ten chapters, written by ten different teams ofauthors, and the contents range over a wide variety of topics including combinatorial analysis, number theory, neural networks, derivative sampling, wavelets, stochastic signals, random fields, andabstract harmonic analysis. There is a comprehensive, up to date bibliography. Volume 1 in this series laid the mathematical foundations of sampling theory; Volume 2 surveys the many applications of the theory both within mathematics and in other areas of science. Topics range over a wide variety of areas, and each application is given a modern treatment. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9780198534969

Bibliographic Details

• Title: Sampling Theory in Fourier and Signal Analysis: Advanced Topics (Hardcover)
• Publisher: Oxford University Press, Oxford
• Publication Date: 1999
• Language: English
• ISBN 10: 0198534965
• ISBN 13: 9780198534969
• Binding: Hardcover
• Condition: new

About this title

Synopsis

This is the second of a two-volume series on sampling theory. The mathematical foundations were laid in the first volume, and this book surveys the many applications of sampling theory both within mathematics and in other areas of science. Many of the topics covered here are not found in other books, and all are given an up to date treatment bringing the reader's knowledge up to research level. This book consists of ten chapters, written by ten different teams of authors, and the contents range over a wide variety of topics including combinatorial analysis, number theory, neural networks, derivative sampling, wavelets, stochastic signals, random fields, and abstract harmonic analysis. There is a comprehensive, up to date bibliography.

Review

"In contrast to the first volume, in the present one of the references are given at the end of each chpater. The two indexes, of authors and objects provide an enlarged accessibility to the items included in the book. As to the graphics, it is as beautiful as that of the first volume ... After carefully studying the first volume, the research engineer or applied mathematician can proceed to read this book"Zentralblatt Mathematik