Title :
Representation of discrete sequences with three-dimensional iterated function systems
Author_Institution :
IBM Federal Syst. Co., Manassa, VA, USA
fDate :
11/1/1994 12:00:00 AM
Abstract :
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 R2 or R3 or is piece-wise self-affine in R2. We extend the piece-wise self-affine IFS model from R2 to R3 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
Keywords :
fractals; geophysical signal processing; iterative methods; parameter estimation; seismology; sequences; signal representation; speech processing; constrained inverse algorithm; discrete sequences representation; model parameters identification; piece-wise hidden-variable fractal model; piece-wise self-affine model; seismic data; speech data; three-dimensional iterated function systems; Fractals; Interpolation; Speech;
Journal_Title :
Signal Processing, IEEE Transactions on