% @(#)interpit.hlq 17.1.1.1 (ESO-IPG) 01/25/02 17:43:41 %++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %.COPYRIGHT (c) 1990 European Southern Observatory %.IDENT interpit.hlq %.AUTHOR JDP, IPG/ESO %.KEYWORDS MIDAS, help files, INTERPOLATE/IT %.PURPOSE On-line help file for the command: INTERPOLATE/IT %.VERSION 1.0 29-MAY-1987 : Creation, JDP %---------------------------------------------------------------- \se SECTION./IT \es\co INTERPOLATE/IT 29-MAY-1987 JDP \oc\su INTERPOLATE/IT outtab i,d inima [s] [degree] interpolate Image to Table \us\pu Purpose: Spline interpolation of 1D data; image to table transformation. \up\sy Syntax: INTERPOLATE/IT outtab i,d inima [s] [degree] \ys\pa outtab = name of output table \ap\pa i = column reference for independent variable \ap\pa d = column reference for output variable. If the column does not exist it is created \ap\pa inima = name of input image \ap\pa s = smoothness parameter (default 1.) \ap\pa degree = degree of spline (default 3, cubic splines) \ap\sa See also: INTERPOLATE/TI, INTERPOLATE/II \as\no Note: The parameter s controls the degree of smoothing. This parameter has to be chosen carefully: too small s-values will result in an overfitting, too large s-values will produce an underfitting of the data. For s very large it returns the least-squares polynomial fit. \\ The number of spline knots and their positions are determined automatically, taking into account the specific behaviour of the function underlying the data. \\ Ref.: P. Dierckxx, 1982, Computer Graphics and Image Processing, vol. 20, 171-184. \on\exs Examples: \ex INTERPOLATE/IT table :X,:Y image 1. 3 \xe \sxe