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Discrete Fourier Analysis(Pseudo-Differential Operators, nr. 5)

De (autor)
en Limba Engleză Paperback – June 2011
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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Specificații

ISBN-13: 9783034801157
ISBN-10: 3034801157
Pagini: 188
Ilustrații: VIII, 177 p. 1 illus. in color.
Greutate: 0.33 kg
Ediția: 2011
Editura: Springer
Colecția Birkhäuser
Seria Pseudo-Differential Operators

Locul publicării: Basel, Switzerland

Cuprins

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.

Notă biografică

M. W. Wong is currently Chair of Department of Mathematics and Statistics at York University, Toronto (Canada), past-President (2005-07 and 2007-09) of the International Society for Analysis, its Applications and Computation (ISAAC) and Director of the ISAAC Special Interest Group in Pseudo-Differential Operators (IGPDO).

Textul de pe ultima copertă

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.

Caracteristici

The mathematical notions are presented both on a basic level, making thus the content accessible to a wide audience, and later on, on a more sophisticated level, which can bring students more effectively to the frontier of research
Pseudo-differential operators are presented in the perspectives of signal analysis
Exercises are included to enhance the use of the book as a textbook
Includes introduction to wavelets and to pseudo-differential operators