Buch, Englisch, 279 Seiten, Format (B × H): 175 mm x 246 mm, Gewicht: 678 g
Buch, Englisch, 279 Seiten, Format (B × H): 175 mm x 246 mm, Gewicht: 678 g
ISBN: 978-3-11-017546-2
Verlag: De Gruyter
For many years, digital signal processing has been governed by the theory of Fourier transform and its numerical implementation. The main disadvantage of Fourier theory is the underlying assumption that the signals have time-wise or space-wise invariant statistical properties. In many applications the deviation from a stationary behavior is precisely the information to be extracted from the signals. Wavelets were developed to serve the purpose of analysing such instationary signals. The book gives an introduction to wavelet theory both in the continuous and the discrete case. After developing the theoretical fundament, typical examples of wavelet analysis in the Geosciences are presented. The book has developed from a graduate course held at The University of Calgary and is directed to graduate students who are interested in digital signal processing. The reader is assumed to have a mathematical background on the graduate level.
Zielgruppe
Graduate Students and Researchers, Academic Libraries
Autoren/Hrsg.
Fachgebiete
- Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung
- Geowissenschaften Geologie Geodäsie, Kartographie, Fernerkundung
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Mathematik | Informatik Mathematik Mathematische Analysis Harmonische Analysis, Fourier-Mathematik
Weitere Infos & Material
Frontmatter
Contents
1. Fourier analysis and filtering
2. Wavelets
3. Applications
A. Hilbert spaces
B. Distributions
Backmatter
