A state -of-the-art edited survey covering all aspects of sampling
theory. Theory, methods and applications are discussed in
authoritative expositions ranging from multi-dimensional signal
analysis to wavelet transforms. The book is an essential up-to-date
resource for all researchers and professionals in applied math and
engineering working in fourier analysis, wavelets, signal processing
and time-frequency analysis.
"The introduction (Chapter 1) gives an excellent overview of the history and development of sampling theory. It shows that the WSK sampling theory has roots in many classical areas of mathematics, such as harmonic analysis, number theory, and interpolation theory. Many famous mathematicians, such as Cauchy, Borel, Hadamard, and de la Vallee-Poussin contributed directly or indirectly to its development. The introduction then proceeds to show how sampling theory is connected to more recent topics in mathematical analysis, such as wavelets, Gabor systems, density theorems, frames, and sampling in locally compact abelian groups."
-Mathematical Reviews
"Engineers and mathematicians working in wavelets, signal processing, and harmonic analysis, as well as scientists and engineers working on applications as varied as medical imaging and synthetic aperture radar, will find the book to be a modern and authoritative guide to sampling theory."
-Publicationes Mathematicae
