Graphic STI
logo EPFL
text EPFL
english only
Biomedical Imaging Group
Hurst parameter estimation using polyharmonic wavelets
BIG > Download Algorithms > Hurst parameter estimation using polyharmonic wavelets
CONTENTS

Home page

News & Events

Seminars

People

Research

Publications

Tutorials & Reviews

Recent Talks

Demos

Download Algorithms

Jobs and Trainees

Teaching

Student Projects

Intranet

Hurst parameter estimation using polyharmonic wavelets

A MATLAB package is available for download that implements Hurst parameter extimation according to the algorithms described in Tafti et al. [1]. The Hurst parameter characterizes the correlation structure of fractional Brownian motion (fBm) fields.

Description

See README.txt for more details.

Download

References

  1. P. D. Tafti, D. Van De Ville, and M. Unser, "Invariances, Laplacian-like wavelet bases, and the whitening of fractal processes", IEEE Transactions on Image Processing, v. 18, no. 4, Apr. 2009.
  2. D. Van De Ville, T. Blu, M. Unser, "Isotropic Polyharmonic B-Splines: Scaling Functions and Wavelets", IEEE Transactions on Image Processing, vol. 14, no. 11, pp. 1798-1813, Nov. 2005.

© 2009 EPFL • webmaster.big@epfl.ch • 17.03.2009