New Trends in Applied Harmonic Analysis, Volume 2 - Harmonic Analysis, Geometric Measure Theory, and Applications (Hardcover, 1st ed. 2019)

This contributed volume collects papers based on courses and talks given at the 2017 CIMPA school Harmonic Analysis, Geometric Measure Theory and Applications, which took place at the University of Buenos Aires in August 2017. These articles highlight recent breakthroughs in both harmonic analysis and geometric measure theory, particularly focusing on their impact on image and signal processing. The wide range of expertise present in these articles will help readers contextualize how these breakthroughs have been instrumental in resolving deep theoretical problems. Some topics covered include: Gabor frames Falconer distance problem Hausdorff dimension Sparse inequalities Fractional Brownian motion Fourier analysis in geometric measure theory This volume is ideal for applied and pure mathematicians interested in the areas of image and signal processing. Electrical engineers and statisticians studying these fields will also find this to be a valuable resource.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Applied and Numerical Harmonic Analysis
Release date:	December 2019
First published:	2019
Editors:	Akram Aldroubi • Carlos Cabrelli • Stephane Jaffard • Ursula Molter
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	321
Edition:	1st ed. 2019
ISBN-13:	978-3-03-032352-3
Categories:	Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Complex analysis Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Functional analysis Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Integral equations Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	3-03-032352-8
Barcode:	9783030323523

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