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

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 multiple locations in the US or from the UK, depending on stock availability.