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Titlebook: Excursions in Harmonic Analysis, Volume 6; In Honor of John Ben Matthew Hirn,Shidong Li,Özgür Yilmaz Book 2021 The Editor(s) (if applicable

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书目名称Excursions in Harmonic Analysis, Volume 6
副标题In Honor of John Ben
编辑Matthew Hirn,Shidong Li,Özgür Yilmaz
视频video
概述Celebrates John J. Benedetto’s lasting impact on harmonic analysis and its applications.Covers a wide range of topics related to this field, illustrating the breadth of influence that Benedetto has ha
丛书名称Applied and Numerical Harmonic Analysis
图书封面Titlebook: Excursions in Harmonic Analysis, Volume 6; In Honor of John Ben Matthew Hirn,Shidong Li,Özgür Yilmaz Book 2021 The Editor(s) (if applicable
描述.John J. Benedetto has had a profound influence not only on the direction of harmonic analysis and its applications, but also on the entire community of people involved in the field. The chapters in this volume – compiled on the occasion of his 80.th. birthday – are written by leading researchers in the field and pay tribute to John’s many significant and lasting achievements. Covering a wide range of topics in harmonic analysis and related areas, these chapters are organized into four main parts: harmonic analysis, wavelets and frames, sampling and signal processing, and compressed sensing and optimization. An introductory chapter also provides a brief overview of John’s life and mathematical career. This volume will be an excellent reference for graduate students, researchers, and professionals in pure and applied mathematics, engineering, and physics..
出版日期Book 2021
关键词John Benedetto harmonic analysis; Harmonic analysis and applications; Banach-Zaretsky theorem; Spectral
版次1
doihttps://doi.org/10.1007/978-3-030-69637-5
isbn_softcover978-3-030-69639-9
isbn_ebook978-3-030-69637-5Series ISSN 2296-5009 Series E-ISSN 2296-5017
issn_series 2296-5009
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Almost Eigenvalues and Eigenvectors of Almost Mathieu Operatorsfinite-dimensional almost Mathieu operator .. We furthermore show that the (properly rescaled) .-th Hermite function .. is an approximate eigenvector of ., and that it satisfies the same properties that characterize the true eigenvector associated with the .-th largest eigenvalue of .. Moreover, a p
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A Notion of Optimal Packings of Subspaces with Mixed-Rank and Solutionse proper properties for the problem. In order to compare elements of mixed dimension, we use a classical embedding to send all fusion frame elements to points on a higher dimensional Euclidean sphere, where they are given “equal footing.” Over the embedded images—a compact subset in the higher dimen
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Equiangular Frames and Their Dualsons in signal processing. Such sets are called . (ETFs). One of the geometrically appealing aspects of an ETF is that any vector can be represented in terms of an ETF by using a dual frame that is also an equiangular set. However, for a given . and ., with . > . + 1, ETFs are rare. Here we study som
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