Using iterated function systems to model discrete sequences

Authors:
D.S. Mazel;M.H. Hayes
Affiliations:
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA;-
Venue:
IEEE Transactions on Signal Processing
Year:
1992

Citing 0
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Abstract

Two iterated function system (IFS) models are explored for the representation of single-valued discrete-time sequences: the self-affine fractal model and the piecewise self-affine fractal model. Algorithms are presented, one of which is suitable for a multiprocessor implementation, for identification of the parameters of each model. Applications of these models to a variety of data types are given where signal-to-noise ratios are presented, quantization effects of the model parameters are investigated, and compression ratios are computed