Maximum likelihood estimator for fractal dimension of fractal signal plus noise

A.S. Balghonaim, J.M. Keller
CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings  
A maximum likelihood estimator (MLE) is developed for estimating the fractal dimension of single variable fraction Brownian motion (fBm) that was corrupted by additive noise. The procedure involve the construction of signal plus noise model and from the model we derive the likelihood function of the signal plus noise. We then estimate the fractal dimension by maximizing the likelihood function. The MLE was tested on fractal signal plus noise and the result was compared with other fractal
more » ... ther fractal dimension estimators such as the Box method which does not handle additive noise. The results shows that the MLE gives better results than the Box method For pre-prints please write to:abstracts@kfupm.edu.sa
doi:10.1109/ccece.1997.614830 fatcat:teyxo6som5hxrds4hmd44x5btm