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New trends in applied harmonic analy...

Aldroubi, Akram.

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New trends in applied harmonic analysis = sparse representations, compressed sensing, and multifractal analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	New trends in applied harmonic analysis/ edited by Akram Aldroubi ... [et al.].
Reminder of title:	sparse representations, compressed sensing, and multifractal analysis /
other author:	Aldroubi, Akram.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xxviii, 334 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Multifractal Analysis of Cantor-like Measures -- Multifractal Analysis and Wavelets -- An Introduction to Mandelbrot Cascades -- Lebesgue-type Inequalities for Greedy Approximation -- Results on Non-linear Approximation for Wavelet Bases in Weighted Function Spaces -- Consequences of the Marcus/Spielman/Srivastava Solution of the Kadison-Singer Problem -- Model Sets and New Versions pf Shannon Sampling Theorem -- Stylometry and Mathematical Study of Authorship -- Thoughts on Numerical and Conceptual Harmonic Analysis.
Contained By:	Springer eBooks
Subject:	Harmonic analysis. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-27873-5
ISBN:	9783319278735

New trends in applied harmonic analysis = sparse representations, compressed sensing, and multifractal analysis /
New trends in applied harmonic analysissparse representations, compressed sensing, and multifractal analysis /[electronic resource] :edited by Akram Aldroubi ... [et al.]. - Cham :Springer International Publishing :2016. - xxviii, 334 p. :ill. (some col.), digital ;24 cm. - Applied and numerical harmonic analysis,2296-5009. - Applied and numerical harmonic analysis..

Multifractal Analysis of Cantor-like Measures -- Multifractal Analysis and Wavelets -- An Introduction to Mandelbrot Cascades -- Lebesgue-type Inequalities for Greedy Approximation -- Results on Non-linear Approximation for Wavelet Bases in Weighted Function Spaces -- Consequences of the Marcus/Spielman/Srivastava Solution of the Kadison-Singer Problem -- Model Sets and New Versions pf Shannon Sampling Theorem -- Stylometry and Mathematical Study of Authorship -- Thoughts on Numerical and Conceptual Harmonic Analysis.

This volume is a selection of written notes corresponding to courses taught at the CIMPA School: "New Trends in Applied Harmonic Analysis: Sparse Representations, Compressed Sensing and Multifractal Analysis". New interactions between harmonic analysis and signal and image processing have seen striking development in the last 10 years, and several technological deadlocks have been solved through the resolution of deep theoretical problems in harmonic analysis. New Trends in Applied Harmonic Analysis focuses on two particularly active areas that are representative of such advances: multifractal analysis, and sparse representation and compressed sensing. The contributions are written by leaders in these areas, and covers both theoretical aspects and applications. This work should prove useful not only to PhD students and postdocs in mathematics and signal and image processing, but also to researchers working in related topics.

ISBN: 9783319278735

Standard No.: 10.1007/978-3-319-27873-5doiSubjects--Topical Terms:

555704
Harmonic analysis.

LC Class. No.: QA403

Dewey Class. No.: 515.2433

New trends in applied harmonic analysis = sparse representations, compressed sensing, and multifractal analysis /
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520 $a This volume is a selection of written notes corresponding to courses taught at the CIMPA School: "New Trends in Applied Harmonic Analysis: Sparse Representations, Compressed Sensing and Multifractal Analysis". New interactions between harmonic analysis and signal and image processing have seen striking development in the last 10 years, and several technological deadlocks have been solved through the resolution of deep theoretical problems in harmonic analysis. New Trends in Applied Harmonic Analysis focuses on two particularly active areas that are representative of such advances: multifractal analysis, and sparse representation and compressed sensing. The contributions are written by leaders in these areas, and covers both theoretical aspects and applications. This work should prove useful not only to PhD students and postdocs in mathematics and signal and image processing, but also to researchers working in related topics.
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