Ten lectures on wavelets
Multifractal formalism for functions part I: results valid for all functions
SIAM Journal on Mathematical Analysis
Wavelet based estimator for the self-similarity parameter of /spl alpha/-stable processes
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
Wavelet leaders and bootstrap for multifractal analysis of images
Signal Processing
Wavelet-based 3-D multifractal spectrum with applications in breast MRI images
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
2D wavelet-based spectra with applications
Computational Statistics & Data Analysis
A wavelet-based joint estimator of the parameters of long-range dependence
IEEE Transactions on Information Theory
Wavelet analysis and synthesis of fractional Brownian motion
IEEE Transactions on Information Theory - Part 2
Editorial: The third special issue on Statistical Signal Extraction and Filtering
Computational Statistics & Data Analysis
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A wavelet-based multifractal spectrum (MFS) for the analysis of images that possess an erratically changing oscillatory behavior at various scales is constructed and estimated. The methodology is applied to the analysis of mammograms. The key contribution is that the analysis is not focused on microcalcifications, but on the background of the image, thus presenting a new modality to be combined with other diagnostic tools. Differences in image backgrounds between malignant and normal cases are found, in terms of multifractal descriptors. The new tool is compared with another spectral method, based on monofractal descriptors.