DocumentCode
2492250
Title
Multiscale synthesis and analysis of fractal renewal processes
Author
Lam, Warren M. ; Wornell, Gregory W.
Author_Institution
Res. Lab. of Electron., MIT, Cambridge, MA, USA
fYear
1994
fDate
2-5 Oct 1994
Firstpage
67
Lastpage
70
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
Keywords
fractals; maximum likelihood estimation; parameter estimation; stochastic processes; Poisson processes; corrupted observations; fractal point processes; fractal renewal processes; maximum likelihood fractal dimension estimates; multiscale analysis algorithms; multiscale synthesis; parameter estimation; Algorithm design and analysis; Fractals; Laboratories; Maximum likelihood estimation; Multidimensional systems; Planets; Signal processing; Signal processing algorithms; Signal synthesis; Terminology;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Workshop, 1994., 1994 Sixth IEEE
Conference_Location
Yosemite National Park, CA
Print_ISBN
0-7803-1948-6
Type
conf
DOI
10.1109/DSP.1994.379874
Filename
379874
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