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Titlebook: Modern Sampling Theory; Mathematics and Appl John J. Benedetto,Paulo J. S. G. Ferreira Book 2001 Springer Science+Business Media New York 2

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書(shū)目名稱Modern Sampling Theory
副標(biāo)題Mathematics and Appl
編輯John J. Benedetto,Paulo J. S. G. Ferreira
視頻videohttp://file.papertrans.cn/638/637389/637389.mp4
叢書(shū)名稱Applied and Numerical Harmonic Analysis
圖書(shū)封面Titlebook: Modern Sampling Theory; Mathematics and Appl John J. Benedetto,Paulo J. S. G. Ferreira Book 2001 Springer Science+Business Media New York 2
描述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 distrib
出版日期Book 2001
關(guān)鍵詞Fourier transform; Modulation; Shannon; communication; fast Fourier transform; fast Fourier transform (FF
版次1
doihttps://doi.org/10.1007/978-1-4612-0143-4
isbn_softcover978-1-4612-6632-7
isbn_ebook978-1-4612-0143-4Series ISSN 2296-5009 Series E-ISSN 2296-5017
issn_series 2296-5009
copyrightSpringer Science+Business Media New York 2001
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