Harmonic analysis and rational approximation : their roles in signals, control and dynamical systems /

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Bibliographic Details
Imprint:Berlin : Springer, 2006.
Description:1 online resource (xxii, 311 pages) : illustrations.
Language:English
Series:Lecture notes in control and information sciences ; 327
Lecture notes in control and information sciences ; 327.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11068861
Hidden Bibliographic Details
Other authors / contributors:Fournier, Jean-Daniel, 1951-
ISBN:9783540331674
3540331670
3540309225
9783540309222
Notes:Includes bibliographical references.
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Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212
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Print version record.
Summary:This book - an outgrowth of a topical summer school - sets out to introduce non-specialists from physics and engineering to the basic mathematical concepts of approximation and Fourier theory. After a general introduction, Part II of this volume contains basic material on the complex and harmonic analysis underlying the further developments presented. Part III deals with the essentials of approximation theory while Part IV completes the foundations by a tour of probability theory. Part V reviews some major applications in signal and control theory. In Part VI mathematical aspects of dynamical systems theory are discussed. Part VII, finally, is devoted to a modern approach to two physics problems: turbulence and the control and noise analysis in gravitational waves measurements.
Other form:Print version: Harmonic analysis and rational approximation. Berlin : Springer, 2006 3540309225 9783540309222
Table of Contents:
  • Introduction
  • Complex Analysis, Fourier Transform and Asymptotic Behaviours
  • Interpolation and Approximation
  • The Role of Chance
  • Signal and Control Theory
  • Dynamical Systems Theory
  • Modern Experiments in Classical Physics: Information and Control.