Discrete Fourier Analysis [recurso electrónico] / by M. W. Wong.

Por: Wong, M. W [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoSeries Pseudo-Differential Operators, Theory and Applications ; 5Editor: Basel : Springer Basel, 2011Descripción: VIII, 177p. 1 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783034801164Tema(s): Mathematics | Harmonic analysis | Fourier analysis | Differential equations, partial | Numerical analysis | Mathematics | Fourier Analysis | Abstract Harmonic Analysis | Partial Differential Equations | Numerical AnalysisFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 515.2433 Clasificación LoC:QA403.5-404.5Recursos en línea: Libro electrónicoTexto
Contenidos:
Preface -- The Finite Fourier Transform -- Translation-Invariant Linear Operators -- Circulant Matrices -- Convolution Operators -- Fourier Multipliers -- Eigenvalues and Eigenfunctions -- The Fast Fourier Transform -- Time-Frequency Analysis -- Time-Frequency Localized Bases -- Wavelet Transforms and Filter Banks -- Haar Wavelets -- Daubechies Wavelets -- The Trace -- Hilbert Spaces -- Bounded Linear Operators -- Self-Adjoint Operators -- Compact Operators -- The Spectral Theorem -- Schatten–von Neumann Classes -- Fourier Series -- Fourier Multipliers on S1 -- Pseudo-Differential Operators on S1 -- Pseudo-Differential Operators on Z -- Bibliography -- Index.
En: Springer eBooksResumen: This textbook presents basic notions and techniques of Fourier analysis in discrete settings. Written in a concise style, it is interlaced with remarks, discussions and motivations from signal analysis.   The first part is dedicated to topics related to the Fourier transform, including discrete time-frequency analysis and discrete wavelet analysis. Basic knowledge of linear algebra and calculus is the only prerequisite. The second part is built on Hilbert spaces and Fourier series and culminates in a section on pseudo-differential operators, providing a lucid introduction to this advanced topic in analysis. Some measure theory language is used, although most of this part is accessible to students familiar with an undergraduate course in real analysis.   Discrete Fourier Analysis is aimed at advanced undergraduate and graduate students in mathematics and applied mathematics. Enhanced with exercises, it will be an excellent resource for the classroom as well as for self-study.
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Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos QA403.5 -404.5 (Browse shelf(Abre debajo)) 1 No para préstamo 373061-2001

Preface -- The Finite Fourier Transform -- Translation-Invariant Linear Operators -- Circulant Matrices -- Convolution Operators -- Fourier Multipliers -- Eigenvalues and Eigenfunctions -- The Fast Fourier Transform -- Time-Frequency Analysis -- Time-Frequency Localized Bases -- Wavelet Transforms and Filter Banks -- Haar Wavelets -- Daubechies Wavelets -- The Trace -- Hilbert Spaces -- Bounded Linear Operators -- Self-Adjoint Operators -- Compact Operators -- The Spectral Theorem -- Schatten–von Neumann Classes -- Fourier Series -- Fourier Multipliers on S1 -- Pseudo-Differential Operators on S1 -- Pseudo-Differential Operators on Z -- Bibliography -- Index.

This textbook presents basic notions and techniques of Fourier analysis in discrete settings. Written in a concise style, it is interlaced with remarks, discussions and motivations from signal analysis.   The first part is dedicated to topics related to the Fourier transform, including discrete time-frequency analysis and discrete wavelet analysis. Basic knowledge of linear algebra and calculus is the only prerequisite. The second part is built on Hilbert spaces and Fourier series and culminates in a section on pseudo-differential operators, providing a lucid introduction to this advanced topic in analysis. Some measure theory language is used, although most of this part is accessible to students familiar with an undergraduate course in real analysis.   Discrete Fourier Analysis is aimed at advanced undergraduate and graduate students in mathematics and applied mathematics. Enhanced with exercises, it will be an excellent resource for the classroom as well as for self-study.

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