"Three Lectures on the Application
of Wavelets to Experimental Data Analysis"
by
Lewalle, J.
ABSTRACT
- Lecture 1:
General introduction to continuous wavelets,
wavelet selection, wavelet transform formulae and algorithms,
relation to Fourier transform, application to discrete data,
interpretation, examples.
- Lecture 2:
Parseval theorem for continuous wavelets, wavelet spectra,
local spectra, conditional spectra, examples from near-wake
turbulence, boundary-layer transition, unsteady transition
in gas turbine.
- Lecture 3:
Inverse transform and algorithms, unsteady filtering and event eduction,
correlations, examples, pitfalls.
Von Karman Institute Lecture Series on
Advanced Measurement Techniques, April 6-9, 1998
VKI LS 1998-06, F.A.E. Breugelmans Ed., 1998.
Jacques Lewalle, jlewalle@syr.edu
