Abstract
This chapter offers, first, an introductory walk through the notions related to scaling phenomena and intuitions behind are gathered to formulate a tentative definition. Second, it introduces the mathematical model of self-similar processes with stationary increments, understood as the canonical reference to describe scaling. Then, it shows how and why the wavelet transform constitutes a powerful and relevant tool for the analysis (detection, identification, estimation) of self-similarity. It is finally explained why self-similarity is too restrictive a model to account for the large variety of scaling encountered in empirical data and a review of the various models related to scaling— long range dependence, local Hölder regularity, fractal and multifractal processes, multiplicative or cascade processes— is proposed. Their interrelations and differences, as well as estimation issues, are discussed. A set of Matlab routines has beendev eloped to implement the wavelet-based analysis for scaling described here. It is available at www.ens-lyon.fr/~pabry.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
P. Abry, P. Flandrin: ‘Point processes, long-range dependence and wavelets’. In: Wavelets in Medicine and Biology, ed. by A. Aldroubi and M. Unser (CRC Press, Boca Raton(FL) 1996) pp. 413–438
P. Abry, D. Veitch: IEEE Trans. on Info. Theory, 44, 2 (1998)
P. Abry, L. Delbeke and P. Flandrin: IEEE-ICASSP-99, Phoenix (AZ) (1999)
P. Abry, P. Flandrin, M.S. Taqqu and D. Veitch: Wavelets for the analysis, estimation andsynthesis of scaling data A chapter in
P. Abry, B. Pesquet-Popescu, M. S. Taqqu: ‘Wavelet Based Estimators for Self Similar α-Stable Processes’. In: Int. Conf. on Signal Proc., 16th WorldComputer Congress, Beijing, China, 2000
P. Abry, P. Gonçcalvès and J. Lévy Véhel: Traité Information, Commandes, Contrôle, Hermès Editions, Paris, France, April (2002)
A. Arnéodo, J.F. Muzy, S.G. Roux: J. Phys. II France, 7, 363 (1997)
R. Averkamp and C. Houdré: IEEE Trans. on Info. Theory, Vol. 44, 1111 (1998)
V. Bareikis and R. Katilius: Noise in Physical Systems and 1/f Fluctuations (World Scientific 1995)
J. Beran: Statistics for Long-Memory Processes (Chapman and Hall, New York 1994)
S. Cambanis and C. Houdré: IEEE Trans. on Info. Theory, 41, 628 (1995)
B. Castaing, Y. Gagne, E. Hopfinger: Physica D, 46, 177 (1990)
B. Castaing: J. Phys. II France, 6, 105 (1996)
P. Chainais, P. Abry, and J. F. Pinton: Phys. Fluids, 11, 3524 (1999)
P. Chainais: Cascades log-infiniment divisibles et analyse multirésolution. Application à l’étude des intermittences en turbulence. PhD Thesis, Ecole Normale Supérieure de Lyon(2001)
P. Chainais, R. Riedi and P. Abry: ‘Infinitely Divisible Processes’. In: Stochastic processes and Their Applications (May 2002)
I. Daubechies: Ten Lectures on Wavelets (SIAM, Philadelphia 1992)
L. Delbeke and P. Abry: Stochastic Processes and their Applications, 86, 177 (2000)
P. Frankhauser: Population, 4, 1005 (1997)
U. Frisch: Turbulence. The legacy of A. Kolmogorov (Cambridge University Press, UK 1995)
A. C. Gilbert, W. Willinger and A. Feldmann: IEEE Trans. on Info. Theory 45, 971 (1999)
P. Gonçcalvès and R. H. Riedi: Proc. 17ème Colloque GRETSI, Vannes, France (1999)
M. Keshner: proc. of the IEEE, 70, 212 (1982)
A. N. Kolmogorov: ‘a) Dissipationof energy inthe locally isotropic turbulence, b) The local structure of turbulence in incompressible viscous fluid for very large Reynolds number, c) Ondegen erationof isotropic turbulence inanin compressible viscous liquid’. In: Turbulence, Classic papers on statistical theory, ed.by S.K. Friedlander and L. Topper (Interscience publishers 1941) pp. 151–161
W. E. Leland, M. S. Taqqu, W. Willinger, and D. V. Wilson: IEEE/ACM Trans. on Networking, 2, 1 (1994)
L. Liebovitch and A. Todorov: The American Physiological Society, 1446 (1996)
B. B. Mandelbrot and J. W. Van Ness: SIAM Rev, 10, 422 (1968)
B. B. Mandelbrot: J. of Fluid Mech., 62, 331 (1974)
B. B. Mandelbrot: Fractales, Hasardet Finance (Flammarion 1997)
S. Mallat: A Wavelet Tour of Signal Processing (Academic Press, Boston 1997)
E. Masry: IEEE Trans. on Info. Theory, 39, 260 (1993)
P. Flandrin: IEEE Trans. on Info. Theory, 38, 910 (1992)
P. Flandrin: ‘Fractional Brownian motion and wavelets’. In: Wavelets, Fractals, and Fourier Transforms ed. by M. Farge, J.C.R. Hunt and J.C. Vassilicos (Clarendon Press, Oxford 1993) pp. 109–122
B. Pesquet-Popescu: Signal Processing 75 (1999)
K. Park and W. Willinger: Self-Similar Network Traffic and Performance Evaluation (Wiley,Interscience Division 2000)
R. Riedi, M.S. Crouse, V.J. Ribeiro and R.G. Baraniuk: IEEE Trans. on Info. Theory, 45, 992 April (1999)
R. H. Riedi: ‘Multifractal processes’. In: Long range dependence: theory and applications ed. by Doukhan, Oppenheim and Taqqu (2002)
L. C. G. Rogers and D. Williams: Diffusions, Markov processes andmartingales, 2nd edition, vol 1 (Foundations, Wiley 1994)
M. Roughan, D. Veitch, and P. Abry: IEEE Trans. on Networking, 8, 467 (2000)
M. Roughan, D. Veitch, J. Yates, M. Ashberg, H. Elgelid, M. Castro, M. Dwyer and P. Abry: ‘Real-Time Measurement of Long-Range Dependence in ATM Networks’. In: Passive andA ctive Measurement Workshop, Hamilton, New-Zealand 2000
G. Samorodnitsky and M. S. Taqqu: Stable Non-Gaussian Processes: Stochastic Models with Infinite Variance (Chapman and Hall, New York, London 1994)
A. Saucier: ‘Méthodes multifractales pour l’analyse d’images et de signaux’. In
D. Sornette: Critical Phenomena in Natural Sciences (Springer 2000)
A. Torcini and M. Antoni: Physical Review E, 59, 2746 (1999)
M. Teich, S. Lowen, B. Jost and K. Vibe-Rheymer: Heart rate Variability: Measures end Models (preprint 2000)
A. H. Tewfik and M. Kim: IEEE Trans. Info. Theory, 38, 904 (1992)
D. Veitch and P. Abry: IEEE Trans. on Info. Theory, 45, 878, April (1999)
D. Veitch, P. Abry, P. Flandrin and P. Chainais: ‘Infinitely Divisible Cascade Analysis of Network Traffic Data’. In: Proceedings of ICASSP, Istanbul, June 2000
D. Veitch and P. Abry: ‘A statistical test for the constancy of scaling exponents’. In: itshape IEEE Trans. on Sig. proc. 2001
D. Veitch, P. Abry and M. S. Taqqu: On the automatic selection of the onset of scaling (Preprint 2002)
C. Walter: Lois d’échelle en finance in
B. West and A. Goldberger: American Scientist, 75, 354 (1987)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Abry, P. (2003). Scaling and Wavelets: An Introductory Walk. In: Rangarajan, G., Ding, M. (eds) Processes with Long-Range Correlations. Lecture Notes in Physics, vol 621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44832-2_3
Download citation
DOI: https://doi.org/10.1007/3-540-44832-2_3
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40129-2
Online ISBN: 978-3-540-44832-7
eBook Packages: Springer Book Archive