Title
Bayesian estimation for the multifractality parameter
Abstract
Multifractal analysis has matured into a widely used signal and image processing tool. Due to the statistical nature of multifractal processes (strongly non-Gaussian and intricate dependence) the accurate estimation of multifractal parameters is very challenging in situations where the sample size is small (notably including a range of biomedical applications) and currently available estimators need to be improved. To overcome such limitations, the present contribution proposes a Bayesian estimation procedure for the multifractality (or intermittence) parameter. Its originality is threefold: First, the use of wavelet leaders, a recently introduced multiresolution quantity that has been shown to yield significant benefits for multifractal analysis; Second, the construction of a simple yet generic semi-parametric model for the marginals and covariance structure of wavelet leaders for the large class of multiplicative cascade based multifractal processes; Third, the construction of original Bayesian estimators associated with the model and the constraints imposed by multifractal theory. Performance are numerically assessed and illustrated for synthetic multifractal processes for a range of multifractal parameter values. The proposed procedure yields significantly improved estimation performance for small sample sizes.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638929
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
Bayes methods,fractals,wavelet transforms,Bayesian estimation procedure,image processing tool,multifractal analysis,multifractality parameter,multiplicative cascade based multifractal process,multiresolution quantity,semiparametric model,signal processing tool,Bayesian estimation,log-cumulants,multifractal analysis,multiplicative cascade processes,wavelet leaders
Pattern recognition,Multiplicative cascade,Computer science,Artificial intelligence,Bayes estimator,Multifractal system,Wavelet transform,Covariance,Bayesian probability,Estimator,Wavelet
Conference
ISSN
Citations 
PageRank 
1520-6149
5
0.66
References 
Authors
5
4
Name
Order
Citations
PageRank
Herwig Wendt117033.82
Nicolas Dobigeon22070108.02
Jean-Yves Tourneret383564.32
Patrice Abry456763.81