## Abstract In recent years, attention has been given to coding based on the structurally extracted component and the three dimensional object model. However, it has a problem in that the content of the processing and the required model are fairly complex compared to the conventional waveform codin
A Fourier formulation of the Frostman criterion for random graphs and its applications to wavelet series
✍ Scribed by Antoine Ayache; François Roueff
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 96 KB
- Volume
- 14
- Category
- Article
- ISSN
- 1063-5203
No coin nor oath required. For personal study only.
✦ Synopsis
In the paper by F. Roueff "Almost sure Hausdorff dimensions of graphs of random wavelet series" [J. Fourier Anal. Appl., to appear] lower bounds of the Hausdorff dimension of the graphs of random wavelet series (RWS) have been obtained essentially under the hypothesis that the wavelet coefficients have a bounded probability density function (p.d.f.) with respect to the Lebesgue measure. In this article we extend these lower bounds to classes of RWS that do not satisfy this hypothesis.
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