Modern Sampling Theory : Mathematics and Applications
Resource Information
The work Modern Sampling Theory : Mathematics and Applications represents a distinct intellectual or artistic creation found in University of Oklahoma Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Modern Sampling Theory : Mathematics and Applications
Resource Information
The work Modern Sampling Theory : Mathematics and Applications represents a distinct intellectual or artistic creation found in University of Oklahoma Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Modern Sampling Theory : Mathematics and Applications
 Title remainder
 Mathematics and Applications
 Statement of responsibility
 edited by John J. Benedetto, Paulo J.S.G. Ferreira
 Subject

 Mathematics
 Signal, Image and Speech Processing
 Fourier analysis
 Functional analysis
 Distribution (Probability theory
 Functional Analysis
 Computational Mathematics and Numerical Analysis
 Probability Theory and Stochastic Processes
 Fourier Analysis
 Applications of Mathematics
 Computer science  Mathematics
 Language

 eng
 eng
 Summary
 Sampling is a fundamental topic in the engineering and physical sciences. This new edited book focuses on recent mathematical methods and theoretical developments, as well as some current central applications of the Classical Sampling Theorem. The Classical Sampling Theorem, which originated in the 19th century, is often associated with the names of Shannon, Kotelnikov, and Whittaker; and one of the features of this book is an English translation of the pioneering work in the 1930s by Kotelnikov, a Russian engineer. Following a technical overview and Kotelnikov's article, the book includes a wide and coherent range of mathematical ideas essential for modern sampling techniques. These ideas involve wavelets and frames, complex and abstract harmonic analysis, the Fast Fourier Transform (FFT),and special functions and eigenfunction expansions. Some of the applications addressed are tomography and medical imaging. Topics:. Relations between wavelet theory, the uncertainty principle, and sampling; . Multidimensional nonuniform sampling theory and algorithms;. The analysis of oscillatory behavior through sampling;. Sampling techniques in deconvolution;. The FFT for nonuniformly distributed data; . Filter design and sampling; . Sampling of noisy data for signal reconstruction;. Finite dimensional models for oversampled filter banks; . Sampling problems in MRI. 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
 Dewey number
 621.382
 http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt

 lQY7GPnmLIY
 5M7GYg5D5I
 Image bit depth
 0
 Language note
 English
 LC call number
 QA403.5404.5
 Literary form
 non fiction
 Nature of contents
 dictionaries
 Series statement
 Applied and Numerical Harmonic Analysis,
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