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.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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-dat. N° de réf. du vendeur 4189277
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In. N° de réf. du vendeur ria9781461266327_new
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 non-uniform sampling theory and algorithms; The analysis of oscillatory behavior through sampling; Sampling techniques in deconvolution; The FFT for non-uniformly 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. 436 pp. Englisch. N° de réf. du vendeur 9781461266327
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. Neuware -Sampling is a fundamental topic in the engineering and physicalsciences. This new edited book focuses on recent mathematical methodsand theoretical developments, as well as some current centralapplications of the Classical Sampling Theorem. The Classical SamplingTheorem, whichoriginated in the 19th century, is often associated with the names ofShannon, Kotelnikov, and Whittaker; and one of the features of thisbook is an English translation of the pioneering work in the 1930s byKotelnikov, a Russian engineer.Following a technical overview and Kotelnikov's article, the bookincludes a wide and coherent range of mathematical ideas essential formodern sampling techniques. These ideas involve wavelets and framescomplex and abstract harmonic analysis, the Fast Fourier Transform(FFT),and special functions and eigenfunction expansions. Some of theapplications addressed are tomography and medical imaging.Topics:. Relations between wavelet theory, the uncertainty principleand sampling; . Multidimensional non-uniform sampling theory andalgorithms; The analysis of oscillatory behavior through sampling;.Sampling techniques in deconvolution; The FFT for non-uniformlydistributed data; Filter design and sampling; Sampling of noisy data for signal reconstruction; Finitedimensional models for oversampled filter banks; Sampling problems in MRI.Engineers and mathematicians working in wavelets, signal processingand harmonic analysis, as well as scientists and engineers working onapplications as varied as medical imaging and synthetic apertureradar, will find the book to be a modern and authoritative guide tosampling theory.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 436 pp. Englisch. N° de réf. du vendeur 9781461266327
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 non-uniform sampling theory and algorithms; The analysis of oscillatory behavior through sampling; Sampling techniques in deconvolution; The FFT for non-uniformly 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. N° de réf. du vendeur 9781461266327
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Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 638. N° de réf. du vendeur C9781461266327
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 438. N° de réf. du vendeur 2658585300
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. 438 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. N° de réf. du vendeur 51007243
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. 438. N° de réf. du vendeur 1858585310
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