Lattice Point Identities and Shannon-Type Sampling

Lattice Point Identities and Shannon-Type Sampling
Author :
Publisher : CRC Press
Total Pages : 325
Release :
ISBN-10 : 9781000756524
ISBN-13 : 1000756521
Rating : 4/5 (24 Downloads)

Book Synopsis Lattice Point Identities and Shannon-Type Sampling by : Willi Freeden

Download or read book Lattice Point Identities and Shannon-Type Sampling written by Willi Freeden and published by CRC Press. This book was released on 2019-10-28 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lattice Point Identities and Shannon-Type Sampling demonstrates that significant roots of many recent facets of Shannon's sampling theorem for multivariate signals rest on basic number-theoretic results. This book leads the reader through a research excursion, beginning from the Gaussian circle problem of the early nineteenth century, via the classical Hardy-Landau lattice point identity and the Hardy conjecture of the first half of the twentieth century, and the Shannon sampling theorem (its variants, generalizations and the fascinating stories about the cardinal series) of the second half of the twentieth century. The authors demonstrate how all these facets have resulted in new multivariate extensions of lattice point identities and Shannon-type sampling procedures of high practical applicability, thereby also providing a general reproducing kernel Hilbert space structure of an associated Paley-Wiener theory over (potato-like) bounded regions (cf. the cover illustration of the geoid), as well as the whole Euclidean space. All in all, the context of this book represents the fruits of cross-fertilization of various subjects, namely elliptic partial differential equations, Fourier inversion theory, constructive approximation involving Euler and Poisson summation formulas, inverse problems reflecting the multivariate antenna problem, and aspects of analytic and geometric number theory. Features: New convergence criteria for alternating series in multi-dimensional analysis Self-contained development of lattice point identities of analytic number theory Innovative lattice point approach to Shannon sampling theory Useful for students of multivariate constructive approximation, and indeed anyone interested in the applicability of signal processing to inverse problems.


Lattice Point Identities and Shannon-Type Sampling Related Books

Lattice Point Identities and Shannon-Type Sampling
Language: en
Pages: 325
Authors: Willi Freeden
Categories: Technology & Engineering
Type: BOOK - Published: 2019-10-28 - Publisher: CRC Press

DOWNLOAD EBOOK

Lattice Point Identities and Shannon-Type Sampling demonstrates that significant roots of many recent facets of Shannon's sampling theorem for multivariate sign
Lattice Point Identities and Shannon-Type Sampling
Language: en
Pages: 287
Authors: Willi Freeden
Categories: Technology & Engineering
Type: BOOK - Published: 2019-10-28 - Publisher: CRC Press

DOWNLOAD EBOOK

Lattice Point Identities and Shannon-Type Sampling demonstrates that significant roots of many recent facets of Shannon's sampling theorem for multivariate sign
Recovery Methodologies: Regularization and Sampling
Language: en
Pages: 505
Authors: Willi Freeden
Categories: Mathematics
Type: BOOK - Published: 2023-08-21 - Publisher: American Mathematical Society

DOWNLOAD EBOOK

The goal of this book is to introduce the reader to methodologies in recovery problems for objects, such as functions and signals, from partial or indirect info
Spherical Sampling
Language: en
Pages: 591
Authors: Willi Freeden
Categories: Mathematics
Type: BOOK - Published: 2018-05-03 - Publisher: Birkhäuser

DOWNLOAD EBOOK

This book presents, in a consistent and unified overview, results and developments in the field of today ́s spherical sampling, particularly arising in mathema
Deterministic and Stochastic Optimal Control and Inverse Problems
Language: en
Pages: 378
Authors: Baasansuren Jadamba
Categories: Computers
Type: BOOK - Published: 2021-12-15 - Publisher: CRC Press

DOWNLOAD EBOOK

Inverse problems of identifying parameters and initial/boundary conditions in deterministic and stochastic partial differential equations constitute a vibrant a