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On the optimal number of scales in estimation of fractal signals using wavelets and filter banks

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Publication:1127487
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DOI10.1016/S0165-1684(97)00140-0zbMath0893.94016OpenAlexW1963876778MaRDI QIDQ1127487

G. A. Hirchoren, Carlos E. D'Attellis

Publication date: 13 August 1998

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-1684(97)00140-0


zbMATH Keywords

waveletsestimationfractional Brownian motionfilter banks


Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)


Related Items (4)

A class of negatively fractal dimensional Gaussian random functions ⋮ A robust algorithm for the fractal dimension of images and its applications to the classification of natural images and ultrasonic liver images ⋮ Estimation of the Hurst parameter from discrete noisy data ⋮ Analytical formulation of the fractal dimension of filtered stochastic signals







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