Abstract
A smoother based on an adaptive cubic model [1, 2] and splines with free knots is proposed. The model uses three reference data points and two parameters of control for estimation of a near optimal position of knots at the axis x in autotracking mode. The data points are prethinned and corrected by local linear fitting. The coefficient table is obtained by standard spline procedure. The efficiency and the stability of the smoother w.r.t. random errors are shown on real noisy data.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
