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Mathematical Principles of Signal Processing

Fourier ans Wavelet Analysis
BuchGebunden
270 Seiten
Englisch
Springererschienen am02.05.2002
From the reviews: "[!] the interested reader will find in Bremaud's book an invaluable reference because of its coverage, scope and style, as well as of the unified treatment it offers of (signal processing oriented) Fourier and wavelet basics." Mathematical Reviewsmehr
Verfügbare Formate
BuchGebunden
EUR96,29
BuchKartoniert, Paperback
EUR69,54
E-BookPDF1 - PDF WatermarkE-Book
EUR69,54

Produkt

KlappentextFrom the reviews: "[!] the interested reader will find in Bremaud's book an invaluable reference because of its coverage, scope and style, as well as of the unified treatment it offers of (signal processing oriented) Fourier and wavelet basics." Mathematical Reviews
ZusammenfassungFourier analysis is one of the most useful tools in many applied sciences. The recent developments of wavelet analysis indicates that in spite of its long history and well-established applications, the field is still one of active research. This text bridges the gap between engineering and mathematics, providing a rigorously mathematical introduction of Fourier analysis, wavelet analysis and related mathematical methods, while emphasizing their uses in signal processing and other applications in communications engineering. The interplay between Fourier series and Fourier transforms is at the heart of signal processing, which is couched most naturally in terms of the Dirac delta function and Lebesgue integrals.
Details
ISBN/GTIN978-0-387-95338-0
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2002
Erscheinungsdatum02.05.2002
Seiten270 Seiten
SpracheEnglisch
Gewicht540 g
IllustrationenXII, 270 p.
Artikel-Nr.10517233

Inhalt/Kritik

Inhaltsverzeichnis
A1 Fourier Transforms of Stable Signals.- A2 Fourier Series of Locally Stable Periodic Signals.- A3 Pointwise Convergence of Fourier Series.- B1 Filtering.- B2 Sampling.- B3 Digital Signal Processing.- B4 Subband Coding.- C1 Hilbert Spaces.- C2 Complete Orthonormal Systems.- C3 Fourier Transforms of Finite-Energy Signals.- C4 Fourier Series of Finite-Power Periodic Signals.- D1 The Windowed Fourier Transform.- D2 The Wavelet Transform.- D3 Wavelet Orthonormal Expansions.- D4 Construction of an MRA.- D5 Smooth Multiresolution Analysis.- The Lebesgue Integral.- References.- Glossary of Symbols.mehr

Schlagworte