Multiscale Synthesis and Analysis of Fractal Renewal Processes
نویسنده
چکیده
A novel multiscale framework is introduced for the representation of a clam of fractal point processes. Using this framework, efficient algorithms are developed for the Rynthesis 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.
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تاریخ انتشار 2013