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. Num Pages: 312 pages, numerous mathematical examples. BIC Classification: PBH; PBKF; PBKJ; PBT. Category: (U) Tertiary Education (US: College). Dimension: 241 x 162 x 24. Weight in Grams: 629. . 1999. hardcover. . . . .

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Bibliographic Details

Title: Sampling Theory in Fourier and Signal Analysis: Advanced Topics: Volume 2: Advanced Topics (Sampling Series in Fourier Analysis and Signal Theory)
Publisher: OUP Oxford
Publication Date: 1999
Language: English
ISBN 10: 0198534965
ISBN 13: 9780198534969
Binding: Hardcover
Condition: New

About this title

Synopsis

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.

About the Author

Rowland Higgins is at Anglia Polytechnic University, Cambridge. Rudolph L. Stens is at Rheinisch-Westfaelische, Technische Hochschule, Aachen.

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