Title :
Adaptive nonlinear filter using fractal geometry
Author_Institution :
Sch. of Aerosp. Eng., Georgia Inst. of Technol., Atlanta, GA
fDate :
9/15/1988 12:00:00 AM
Abstract :
A new filter is described which uses fractal geometry in its synthesis. The important characteristic of the filter is that it allows some wanted high frequency parts of time series data to pass while rejecting other unwanted parts of the data
Keywords :
adaptive filters; digital filters; filtering and prediction theory; fractals; geometry; time series; digital filtering; fractal geometry; synthesis; time series data;
Journal_Title :
Electronics Letters