Title :
Nonlinear address maps in a one-dimensional fractal model
Author :
Vines, Greg ; Hayes, Monson H., III
Author_Institution :
Georgia Tech. Lorraine, Metz, France
fDate :
4/1/1993 12:00:00 AM
Abstract :
The authors propose and evaluate a method for nonlinearly addressing the mapped data in the affine maps of an iterated function system (IFS). The effects of quantization and an efficient storage method for the maps are examined, showing that the SNR can be increased with an additional 3 b per map
Keywords :
fractals; signal processing; SNR; affine maps; iterated function system; nonlinear address maps; one-dimensional fractal model; quantization; storage method; Extraterrestrial measurements; Fractals; Interpolation; Performance gain; Quantization; Search methods; Shape;
Journal_Title :
Signal Processing, IEEE Transactions on
