Excursions in Harmonic Analysis, Volume 4 The February Fourier Talks at the Norbert Wiener Center /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Balan, Radu (Επιμελητής έκδοσης), Begué, Matthew (Επιμελητής έκδοσης), Benedetto, John J. (Επιμελητής έκδοσης), Czaja, Wojciech (Επιμελητής έκδοσης), Okoudjou, Kasso A. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Birkhäuser, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: Applied and Numerical Harmonic Analysis,
• Θέματα: Mathematics.; Harmonic analysis.; Approximation theory.; Functional analysis.; Integral transforms.; Operational calculus.; Applied mathematics.; Engineering mathematics.; Abstract Harmonic Analysis.; Approximations and Expansions.; Functional Analysis.; Integral Transforms, Operational Calculus.; Appl.Mathematics/Computational Methods of Engineering.

This volume consists of contributions spanning a wide spectrum of harmonic analysis and its applications written by speakers at the February Fourier Talks from 2002 – 2013. Containing cutting-edge results by an impressive array of mathematicians, engineers, and scientists in academia, industry, and...

Πίνακας περιεχομένων:

• Wiener Randomization on Unbounded Domains and an Application to Almost Sure Well-Posedness of NLS
• Bridging Erasures and the Infrastructure of Frames
• Choosing Function Spaces in Harmonic Analysis
• Existence of Frames with Prescribed Norms and Frame Operator
• Phase Transitions in Phase Retrieval
• Sparsity-Assisted Signal Smoothing
• A Message-Passing Approach to Phase Retrieval of Sparse Signals
• Importance Sampling in Signal Processing Applications
• Finite Dimensional Dynamical Sampling: An Overview
• Signal Processing on Weighted Line Graphs
• Adaptive Signal Processing
• Spectral Correlation Hub Screening of Multivariate Time Series
• A Spectral Analysis Approach for Experimental Designs
• The Synchrosqueezing Transform for Instantaneous Spectral Analysis
• Supervised Non-Negative Matrix Factorization for Audio Source Separation.