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Original Articles
Wavelet Analysis of Self Similar Functions
Carlo Cattaniccattani@unisa.itUniversity of SalernoDifarma, Via Ponte Don Melillo, Fisciano (Sa), I-84084View full profile →
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- Published Online:
- 03 Jun 2013
- Article type:
- Original Articles
- Language:
- EN
- Article no.:
- 1726037X.2011.10698594
- Pages:
- 75–97
Abstract
The self-similarity property of some kind of fractals is studied by using Harmonic Wavelets. The scale invariance of fractals is compared with the scale dependence of wavelets. Harmonic wavelets are complex values wavelets, with sharp compact support in frequency domain, which show some kind of self-similarity with respect to scale changes. Due to their self similarity property and scale dependence, harmonic wavelets can offer an expedient tool for a good approximation and analysis of a suitable class of deterministic (finite energy) fractals. It is shown that (localized, deterministic) fractals are characterized by their wavelet coefficients. In particular, the Riemann-Weirstrass and Riemann-Cellérier function can be easily represented in terms of harmonic wavelets, in the sense that their wavelet coefficients can be easily (and analytically) computed. Some equations for generating self-similar functions are eventually given as well.
Subject Classifications
: Harmonic WaveletsScale InvarianceFractals
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