Multiscale synthesis and analysis of fractal renewal processes

Abstract

A novel multiscale framework is introduced for the representation of a class of fractal point processes. Using this framework, efficient algorithms are developed for the synthesis of fractal point processes from a mixture of Poisson processes. Multiscale analysis algorithms are also developed within this framework for computing Maximum-Likelihood fractal dimension estimates of such processes from corrupted observations.<>