IEEE Transactions on Signal Processing · 1994 · 36 citations · 4 references
Natural SciencesComputer ScienceMathematicsDynamical SystemsSeismologyTime Series AnalysisChaos TheoryFractal GeometryIterated MapsPattern RecognitionSeismic Data ProcessingSignal ProcessingFractal AnalysisIfs AttractorsIterated Function Systems
Several recent papers have shown the ability of iterated function system (IFS) models to represent discrete sequences where the attractor of an IFS is self-affine either in R/sup 2/ or R/sup 3/ or is piece-wise self-affine in R/sup 2/. We extend the piece-wise self-affine IFS model from R/sup 2/ to R/sup 3/ and we call this model the piece-wise hidden-variable fractal model. This extension permits the representation of discrete sequences with a fractal model that is general and flexible. This new model is presented and a constrained inverse algorithm for identification of the model parameters is given. Examples of this model to seismic data and speech data are then presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Hidden Variable Fractal Interpolation Functions
Michael F. Barnsley, John H. Elton, Douglas P. Hardin et al. · SIAM Journal on Mathematical Analysis · 1989 · 225 citations
Hidden-variable fractal interpolation of discrete sequences
D.S. Mazel, M.H. Hayes · 1991 · 21 citations
Computing, Mathematics, Algorithms +13
Fractal modeling of time-series data
D.S. Mazel, M.H. Hayes · 1989 · 15 citations