Analysis of maximum likelihood estimation of fractal dimension by independent and dependent samples

Abstract

Paper describes algorithms of the fractal dimension estimation. Their effectiveness is considered in condition of independent and dependent samples of vectors in pseudophase space. Expression for the correlation dimension estimate for dependent samples is calculated. Ways of sample ordering are considered. Appliance of these algorithms for textural processing is proposed.

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Cite this paper

@article{Parshin2016AnalysisOM, title={Analysis of maximum likelihood estimation of fractal dimension by independent and dependent samples}, author={Alexander Yu. Parshin and Yuri Parshin}, journal={2016 5th Mediterranean Conference on Embedded Computing (MECO)}, year={2016}, pages={172-175} }