Title :
Recursive moving polynomial fit of sampled-data time series
Author :
Mengert, Peter ; Raudseps, Juris G.
Author_Institution :
U. S. Department of Transportation, Cambridge, Mass.
fDate :
4/1/1974 12:00:00 AM
Abstract :
A polynomial is fit to a sampled-data time series and updated at each new sample point with small memory and computation requirements. An exponentially weighted square-error criterion is used.
Keywords :
Ambient intelligence; Equations; Fellows; Kalman filters; Nonlinear systems; Polynomials; Stability criteria; Sufficient conditions; Transfer functions;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/PROC.1974.9475
