CNR IMATI
Istituto per la Matematica Applicata
e le Tecnologie Informatiche

via Bassini 15 - 20133 Milano (Italy)

COURSE on
WAVELETS AND SELF-SIMILARITY: THEORY AND APPLICATIONS

December, 14-16, 2004

Brani Vidakovic

Program

DECEMBER, 14:
14:00-16:15
Multiscale methods and Wavelets. An introduction and overview of wavelets at the semi-technical level. Basics of Bayesian modeling in the wavelet domain. Not essential if the attendant is familiar with basic wavelet and Bayes theory.

DECEMBER, 15:
10:00-12:15
Introduction to Self-similarity, long-range dependence, fractality and multifractality. Formal mathematical and probabilistic coverage. A variety of real life instances of self-similar phenomena will be discussed (DNA, Web Traffic, geosciences, bio-measurements, etc.)
14:00-16:15
Multiresolution tools in assessing and modeling self similarity. Wavelet based estimators of Hurst exponent, fractal and multifractal spectra, multifractal formalism. Simulation of theoretical scaling processes [fBm, mfBm, ARFIMA, etc] with Matlab support.

DECEMBER, 16:
10:00-12:15
Applications of wavelet based fractal analysis in: (i) atmospheric turbulence, and (ii) high frequency biological measurements [pupil diameter size]. Use of self-similarity measures in tasks of discrimination and classification.
14:00-16:15
Further examples of applications of assessing self-similarity in various applied fields. Wrap-up of the seminar. Discussion.

DECEMBER, 17:
Mini-Workshop on Bayesian Statistical Modeling in Wavelet Domain

Slides

Lecture 1
Lecture 2
Lecture 3
Lecture 4
Lecture 5
Appendix
Lecture 6
Lecture 7

Participant's presentations.

C. Angelini
P. Brutti
A. Farcomeni
F. Ruggeri
B. Vidakovic


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