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From Fourier Analysis to Wavelets
Hardcover
2015 Springer International Publishing
Auflage: 1. Auflage
XIII, 210 Seiten; XIII, 210 p. 77 illus.; 23.5 cm x 15.5 cm
Sprache: English
ISBN: 978-3-319-22074-1
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This text introduces the basic concepts of function spaces and operators, both from the continuous and discrete viewpoints. Fourier and Window Fourier Transforms are introduced and used as a guide to arrive at the concept of Wavelet transform. The fundamental aspects of multiresolution representation, and its importance to function discretization and to the construction of wavelets is also discussed.
Emphasis is given on ideas and intuition, avoiding the heavy computations which are usually involved in the study of wavelets. Readers should have a basic knowledge of linear algebra, calculus, and some familiarity with complex analysis. Basic knowledge of signal and image processing is desirable.
This text originated from a set of notes in Portuguese that the authors wrote for a wavelet course on the Brazilian Mathematical Colloquium in 1997 at IMPA, Rio de Janeiro.
Zitat aus einer Besprechung
“The authors present a short textbook about the
fundamentals of Fourier analysis (such as Fourier series, Fourier transform,
and windowed Fourier transform) and wavelet theory (such as continuous/discrete
wavelet transforms, multiresolution analysis, decomposition/reconstruction
algorithms, and construction of orthogonal/biorthogonal wavelets) with emphasis
on the underlying ideas. … This textbook is mainly written for students in
computer science, physics, and engineering.” (Manfred Tasche, zbMATH, Vol.
1325.42001, 2016)
Klappentext
This text introduces the basic concepts of function spaces and operators, both from the continuous and discrete viewpoints. Fourier and Window Fourier Transforms are introduced and used as a guide to arrive at the concept of Wavelet transform. The fundamental aspects of multiresolution representation, and its importance to function discretization and to the construction of wavelets is also discussed.
Emphasis is given on ideas and intuition, avoiding the heavy computations which are usually involved in the study of wavelets. Readers should have a basic knowledge of linear algebra, calculus, and some familiarity with complex analysis. Basic knowledge of signal and image processing is desirable.
This text originated from a set of notes in Portuguese that the authors wrote for a wavelet course on the Brazilian Mathematical Colloquium in 1997 at IMPA, Rio de Janeiro.