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Many of the recently developed mathematical techniques used to describe complex algebraic functions and analyze empirical continuous data have been derived from a wide range of signal data from such sources as turbulent flows and oil well logs. Probably the most important and rapidly developing of these techniques involve Fourier methods, fractals, and wavelets. This important collection of essays provides a useful introduction to the mathematics of wavelets, fractals, and Fourier transforms, and to their many applications. The book emphasizes throughout how the different methods of analysis expose very different aspects of complex signals and surfaces, and that the most suitable method of analysis often depends on the application under consideration. It will be of significant interest to researchers, teachers, and students involved in pure and applied mathematics.
This collection investigates the efficacy and application of Fourier transforms, fractals, and wavelet analysis in interpreting complex signals and empirical data. The authors, including J. C. R. Hunt and M. Farge, compile expert essays that evaluate how these distinct mathematical frameworks reveal different structural properties within continuous data sets. By comparing these methodologies, the text argues that the selection of an analytical tool must be dictated by the specific physical or mathematical nature of the application under study.
What You Will Find
Experts identify this volume as a technical resource for those working in applied mathematics and signal analysis. Readers frequently note the academic density of the prose, which serves as a specialized reference for researchers and students in the field.
Page Count:
424
Publication Date:
1993-07-01
Publisher:
Oxford University Press
ISBN-10:
019853647X
ISBN-13:
9780198536475
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