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Titlebook: Excursions in Harmonic Analysis, Volume 2; The February Fourier Travis D. Andrews,Radu Balan,Kasso A. Okoudjou Book 2013 Springer Science+B

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書目名稱Excursions in Harmonic Analysis, Volume 2
副標(biāo)題The February Fourier
編輯Travis D. Andrews,Radu Balan,Kasso A. Okoudjou
視頻videohttp://file.papertrans.cn/319/318427/318427.mp4
概述Presents a wealth of cutting-edge research selected over six years of annual talks.Draws on contributions from a wide range of practicioners and researchers in academia, industry, and government.Offer
叢書名稱Applied and Numerical Harmonic Analysis
圖書封面Titlebook: Excursions in Harmonic Analysis, Volume 2; The February Fourier Travis D. Andrews,Radu Balan,Kasso A. Okoudjou Book 2013 Springer Science+B
描述.The Norbert Wiener Center for Harmonic Analysis and Applications provides a state-of-the-art research venue for the broad emerging area of mathematical engineering in the context of harmonic analysis. .This two-volume set consists of contributions from speakers at the February Fourier Talks (FFT) from 2006-2011. The FFT are organized by the Norbert Wiener Center in the Department of Mathematics at the University of Maryland, College Park. These volumes span a large spectrum of harmonic analysis and its applications. They are divided into the following parts:.Volume I.·???????? Sampling Theory.·???????? Remote Sensing.·???????? Mathematics of Data Processing.·???????? Applications of Data Processing.Volume II.·???????? Measure Theory.·???????? Filtering.·???????? Operator Theory.·???????? Biomathematics.Each part provides state-of-the-art results, with contributions from an impressive array of mathematicians, engineers, and scientists in academia, industry, and government. .Excursions in Harmonic Analysis: The February Fourier Talks at the Norbert Wiener Center. is an excellent reference for graduate students, researchers, and professionals in pure and applied mathematics, engineer
出版日期Book 2013
關(guān)鍵詞bases in function spaces; frames; harmonic analysis; image processing; remote sensing; sampling; wavelets
版次1
doihttps://doi.org/10.1007/978-0-8176-8379-5
isbn_ebook978-0-8176-8379-5Series ISSN 2296-5009 Series E-ISSN 2296-5017
issn_series 2296-5009
copyrightSpringer Science+Business Media New York 2013
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https://doi.org/10.1007/978-94-009-3593-8modulo rescaling”) of irreducible group lifting factorizations in both group lifting structures. These unique factorization results can in turn be used to characterize the group-theoretic structure of the groups generated by the WS and HS group lifting structures.
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On Indeterminate Probabilities,we derive a new class of “extreme value” windows that, with respect to the representation of linear operators, are more general than standard Gaussian windows while sharing many of Gaussian windows’ desirable properties. The results in this chapter help to justify techniques developed for seismic im
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Weighted Inequalities and Dyadic Harmonic Analysishe .. characteristic of the weight, then its commutator [.,.] with a function . in . will be bounded on ..(.) with an operator norm bounded by the increased power . of the .. characteristic of the weight. The results are sharp in terms of the growth of the operator norm with respect to the .. charac
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Springer Science+Business Media New York 2013
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