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At its essence, it is a combination of fractal dimension [[box counting]] methods and continuous wavelet transforms, where wavelets at various scales are used instead of boxes.
WTMM was originally developed by Mallat and Hwang in 1992 and used for image processing [
Bacry, Muzy, and Arneodo were early users of this methodology. [http://prl.aps.org/abstract/PRL/v67/i25/p3515_1][http://pre.aps.org/abstract/PRE/v47/i2/p875_1] It has subsequently been used in fields related to signal processing.
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* Alain Arneodo et al. (2008), [[Scholarpedia]], 3(3):4103. [http://www.scholarpedia.org/article/Wavelet-based_multifractal_analysis]
* ''A Wavelet Tour of Signal Processing'', by Stéphane Mallat; {{isbn|012466606X}}; Academic Press, 1999 [http://www.ceremade.dauphine.fr/~peyre/wavelet-tour/]
* Mallat, S.; Hwang, W.L.;, "Singularity detection and processing with wavelets," ''IEEE Transactions on Information Theory'', volume 38, number 2, pages 617–643, Mar 1992 {{doi|10.1109/18.119727}} [
* Arneodo on Wavelets [http://www.iscpif.fr/tiki-index.php?page=CSSS'08+Arneodo&highlight=towards]
* {{cite journal | last=Muzy | first=J. F. | last2=Bacry | first2=E. | last3=Arneodo | first3=A. | title=Wavelets and multifractal formalism for singular signals: Application to turbulence data | journal=Physical Review Letters | publisher=American Physical Society (APS) | volume=67 | issue=25 | date=1991-12-16 | issn=0031-9007 | doi=10.1103/physrevlett.67.3515 | pmid=10044755 | bibcode=1991PhRvL..67.3515M | pages=3515–3518}}
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