## Abstract In the context of Kolmogorov's algorithmic approach to the foundations of probability, MartinβLΓΆf defined the concept of an individual random sequence using the concept of a constructive measure 1 set. Alternate characterizations use constructive martingales and measures of impossibilit
A Characterization of Dimension Functions of Wavelets
β Scribed by Marcin Bownik; Ziemowit Rzeszotnik; Darrin Speegle
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 200 KB
- Volume
- 10
- Category
- Article
- ISSN
- 1063-5203
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β¦ Synopsis
This paper is devoted to the study of the dimension functions of (multi)wavelets, which was introduced and investigated by P. Auscher in 1995 (J. Geom. Anal. 5,. Our main result provides a characterization of functions which are dimension functions of a (multi)wavelet. As a corollary, we obtain that for every function D that is the dimension function of a (multi)wavelet, there is a minimally supported frequency (multi)wavelet whose dimension function is D. In addition, we show that if a dimension function of a wavelet not associated with a multiresolution analysis (MRA) attains the value K, then it attains all integer values from 0 to K. Moreover, we prove that every expansive matrix which preserves Z N admits an MRA structure with an analytic (multi)wavelet.
π SIMILAR VOLUMES
Methods from abstract harmonic analysis are used to derive a new formulation of the wavelet dimension function and its natural generalizations to higher dimensions. By means of this abstract description, necessary and sufficient conditions are derived for a multiwavelet in N dimensions, relative to
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