This applied mathematic text focuses on Fourier analysis, filters and signal analysis. Scientists and engineers are confronted by the necessity of using classical mathematics such as Fourier transforms, convolution, distribution and more recently wavelet analysis in all areas of modelling. The object of this book is two-fold - on the one hand to convey to the mathematical reader a rigorous presentation and exploration of the important applications of analysis leading to numerical calculations and on the other hand to convey to the physics reader a body of theory in which the well-known formulae find their justification. The reader will find the basic study of fundamental notions such as Lebesgue integration and theory of distribution and these permit the establishment of the following areas: Fourier analysis and convolution Filters and signal analysis time-frequency analysis (gabor transforms and wavelets) The book is aimed at engineers and scientists and contains a large number of exercises as well as selected worked out solutions. The words `Translated by Robert D Ryan' should be included in ALL promotion material regarding the book. Read more...
Abstract:
The object of this book is two-fold -- on the one hand it conveys to mathematical readers a rigorous presentation and exploration of the important applications of analysis leading to numerical calculations. Read more...
Author(s): Gasquet, Claude; Witomski, Patrick
Series: Texts in applied mathematics 30
Publisher: Springer
Year: 1999
Language: English
Pages: 442
Tags: Fourier analysis.;Fourier-analyse.;Harmonische Analyse;Signalverarbeitung;ANÁLISE DE FOURIER.;Filtres (mathématiques);Analyse numérique.;Ondelettes.;Fourier, Analyse de -- Problèmes et exercices.;Fourier, Analyse de.;Engineering & Applied Sciences.;Applied Mathematics.;Functional Analysis.;Applications of Mathematics.;Analysis.;Computational Intelligence.;Math. Applications in Chemistry.
Content: Signals and Systems --
Periodic Signals --
The Discrete Fourier Transform and Numerical Computations --
The Lebesgue Integral --
Spaces --
Convolution and the Fourier Transform of Functions --
Analog Filters --
Distributions --
Convolution and the Fourier Transform of Distributions --
Filters and Distributions --
Sampling and Discrete Filters --
Current Trends: Time-Frequency Analysis --
References.
