Sampling Theory in Fourier and Signal Analysis: Advanced Topics (Hardcover)
Language: English
Published by Oxford University Press, Oxford, 1999
- Hardcover
- New

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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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller Inventory # 9780198534969
- Title
- Sampling Theory in Fourier and Signal Analysis: Advanced Topics (Hardcover)
- Author
- J.R. Higgins
- Publisher
- Oxford University Press, Oxford
- Publication year
- 1999
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0198534965
- ISBN 13
- 9780198534969
The second in a two-volume series on signal analysis, this book draws on the foundations laid in the first volume to survey the diverse applications of sampling theory both within mathematics and in other areas of science. Many of the topics included are appearing for the first time in a book, and the book seeks to bring readers to the forefront of research. Topics include combinatorial analysis, number theory, neural networks, derivative sampling, wavelets, stochastic signals, random fields, and abstract harmonic analysis.
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About the Author
Rowland Higgins is at Anglia Polytechnic University, Cambridge. Rudolph L. Stens is at Rheinisch-Westfaelische, Technische Hochschule, Aachen.
"About the title" may belong to another edition of this title.
CitiRetail
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