Landscapes of Time-Frequency Analysis : ATFA 2019 / edited by Paolo Boggiatto, Tommaso Bruno, Elena Cordero, Hans G. Feichtinger, Fabio Nicola, Alessandro Oliaro, Anita Tabacco, Maria Vallarino

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Applied and Numerical Harmonic AnalysisVerlag: Cham : Springer International Publishing, 2020Verlag: Cham : Imprint: Birkhäuser, 2020Auflage: 1st ed. 2020Beschreibung: 1 Online-Ressource(XXII, 208 p. 8 illus., 5 illus. in color.)ISBN:

9783030560058

Schlagwörter:

Functional analysis

515.7 23

DOI: DOI: 10.1007/978-3-030-56005-8Online-Ressourcen:

Zusammenfassung: Radon transform: dual pairs and irreducible representations -- Data approximation with time-frequency invariant systems -- The Shearlet transform and Lizorkin spaces -- Time-frequency localization operators: state of the art -- Time-frequency analysis: what we know and what we don't -- Some notes about distribution frame multipliers -- Generalized Anti-Wick quantum states -- Signal analysis and quantum formalism. Quantizations with no Planck constant -- Quantization methods in ocular fundus imaging: analysis of retinal microvasculature -- A time-frequency analysis perspective on Feynman path integrals.Zusammenfassung: This contributed volume features chapters based on talks given at the second international conference titled Aspects of Time-Frequency Analysis (ATFA 19), held at Politecnico di Torino from June 25th to June 27th, 2019. Written by experts in harmonic analysis and its applications, these chapters provide a valuable overview of the state-of-the-art of this active area of research. New results are collected as well, making this a valuable resource for readers seeking to be brought up-to-date. Topics covered include: Signal analysis Quantum theory Modulation space theory Applications to the medical industry Wavelet transform theory Anti-Wick operators Landscapes of Time-Frequency Analysis: ATFA 2019 will be of particular interest to researchers and advanced students working in time-frequency analysis and other related areas of harmonic analysis.PPN: PPN: 1741574706Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS

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