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dc.contributor.author Chen, Hongjing en_US
dc.date.accessioned 2007-05-15T15:25:27Z
dc.date.available 2007-05-15T15:25:27Z
dc.date.issued 1997-01-30T00:00:00Z en_US
dc.identifier.uri http://hdl.handle.net/1993/994
dc.description.abstract This thesis is concerned with accurate approximations of multifractal meas res of strange attractors and analysis of the spatial signals (images) from the point of view of strange attractors through multifractal measures. The approximations of multifractal measures of strange attractors is studied through the Renyi dimension, singularity spectrum, and the Mandelbrot dimension. It is based on the probability of each volume element (vel) intersected by the points on the strange attractor. Since the complete strange attractor consists of an infinite number of points, we cannot obtain the theoretical value of the probability; instead, we consider a finite number of points in the vels. Therefore, this study reduces to a finite number of points and finite size of vels. We have shown that, for a given vel size, the Renyi dimension is sensitive to the number of points used in the attractor, and that for a given number of points in the strange attractor, it is also sensitive to the vel size. We also find that for a given vel size, there is a minimum bound on the number of points required. The smaller the vel size, the larger the minimum bound. Furthermore, the Renyi dimension converges when the number of points increases above the minimum bounds. The convergence can be a guideline to determine the number of points required to compute the dimension. The results of the study of the strange attractors can be applied to spatial signals. In this thesis, spatial signals such as images are modelled as strange attractors, and multi-fractals are used to characterize complicated distributions of the grey levels in images. (Abstract shortened by UMI.) en_US
dc.format.extent 7902375 bytes
dc.format.extent 184 bytes
dc.format.mimetype application/pdf
dc.format.mimetype text/plain
dc.language en en_US
dc.language.iso en_US
dc.rights info:eu-repo/semantics/openAccess
dc.title Accuracy of fractal and multifractal measures for signal analysis en_US
dc.type info:eu-repo/semantics/masterThesis
dc.type master thesis en_US
dc.degree.discipline Electrical and Computer Engineering en_US
dc.degree.level Master of Science (M.Sc.) en_US


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