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.
By:
Wolfgang Keller Imprint: De Gruyter Country of Publication: Germany Dimensions:
Height: 240mm,
Width: 170mm,
Spine: 21mm
Weight: 631g ISBN:9783110175462 ISBN 10: 3110175460 Pages: 289 Publication Date:26 April 2004 Recommended Age: College Graduate Student Audience:
Professional and scholarly
,
Professional and scholarly
,
Undergraduate
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Undergraduate
Format:Hardback Publisher's Status: Active