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＜電子ブック＞
Sampling: Theory and Applications : A Centennial Celebration of Claude Shannon / edited by Stephen D. Casey, Kasso A. Okoudjou, Michael Robinson, Brian M. Sadler
(Applied and Numerical Harmonic Analysis. ISSN:22965017)

版	1st ed. 2020.
出版者	(Cham : Springer International Publishing : Imprint: Birkhäuser)
出版年	2020
本文言語	英語
大きさ	XVII, 197 p. 10 illus., 4 illus. in color : online resource
著者標目	Casey, Stephen D editor Okoudjou, Kasso A editor Robinson, Michael editor Sadler, Brian M editor SpringerLink (Online service)
件　名	LCSH:Fourier analysis LCSH:Harmonic analysis LCSH:Numerical analysis LCSH:Signal processing FREE:Fourier Analysis FREE:Abstract Harmonic Analysis FREE:Numerical Analysis FREE:Signal, Speech and Image Processing
一般注記	Claude Shannon: American Genius -- Reconstruction of Signals: Uniqueness and Stable Sampling -- Sampling Theory in a Fourier Algebra Setting -- Sampling Series, Refinable Sampling Kernels, and Frequency Band Limited Functions -- Prolate Shift Frames and Sampling of Bandlimited Functions -- A Survey on the Unconditional Convergence and the Invertibility of Frame Multipliers with Implementation The chapters of this volume are based on talks given at the eleventh international Sampling Theory and Applications conference held in 2015 at American University in Washington, D.C. The papers highlight state-of-the-art advances and trends in sampling theory and related areas of application, such as signal and image processing. Chapters have been written by prominent mathematicians, applied scientists, and engineers with an expertise in sampling theory. Claude Shannon's 100th birthday is also celebrated, including an introductory essay that highlights Shannon's profound influence on the field. The topics covered include both theory and applications, such as: Compressed sensing Non-uniform and wave sampling A-to-D conversion Finite rate of innovation Time-frequency analysis Operator theory Mobile sampling issues Sampling: Theory and Applications is ideal for mathematicians, engineers, and applied scientists working in sampling theory or related areas HTTP:URL=https://doi.org/10.1007/978-3-030-36291-1

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