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.

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"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

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Sampling Theory in Fourier and Signal Analysis : Advanced Topics

Higgins, J. R. (EDT); Stens, R. L. (EDT)

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