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Integral Transforms and Spectral Analysis

Summary

The lectures give us the general insight into the theory of integral transforms in terms of functional analysis. They contain orthogonal systems of functions, Fourier series, Fourier, Window Fourier and Wavelet transforms in continuous and discrete form, and Z-transform as the special case of discrete Laplace transform. Importance is focused to the applications of their usage for the signal processing, especially time-frequency analysis, compression and their denoising. The cources are extended by exercises and Matlab's examples of efficient algorithms implementations.

Literature

Michael W. Frazier: An introduction to wavelets through Linear Algebra, Springer,1999, ISBN 0-387-98639-1.

G. Bachman, L. Narici, E. Beckenstein: Fourier and Wavelet Analysis, Springer, ISBN 0-387-98899-8.

Advised literature

William L. Briggs, Van Emden Henson: An Owner's Manual for the Discrete Fourier Transform, SIAM, 1995, ISBN 0-89871-342-0.

Bruel & Kjaer: Frequency analysis, Denmark, ISBN 87-87355-07-8.

G. Strang, T. Nguyen: Wavelets and Filter Banks, Wellesley-Cambridge Press, ISBN 0-9614088-7-1.


Language of instruction čeština, čeština
Code 457-0905
Abbreviation ITSA
Course title Integral Transforms and Spectral Analysis
Coordinating department Department of Applied Mathematics
Course coordinator prof. Ing. Tomáš Kozubek, Ph.D.