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📄 transform_coeff.pro

📁 basic median filter simulation
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function transform_coeff, coeff, alpha, beta; NAME:;    TRANSFORM_COEFF(); PURPOSE:;    Compute new polynomial coefficients under a linear transformation ; EXPLANATION:;     Suppose one has a (nonlinear) polynomial (similar to the POLY() function);          y = C[0] + C[1]*x  + C[2]*x^2 + C[3]*x^3 + ...;;      and one has a linear transformation in X;;          x = alpha*x' + beta;     This function computes the new polynomial coefficients under the linear;     transformation. ;; CALLING SEQUENCE:;     newcoeff = TRANSFORM_COEFF( coeff, alpha, beta); INPUTS:;     Coeff  -  vector of polynomial coefficients (as with POLY()).    The ;         degree of the polynomial is N_elements(coeff) - 1;     Alpha, Beta - numeric scalars defining the linear transformation in X ; OUTPUTS:;    NewCoeff - Vector (same size as Coeff) giving the new polyomial ;               coefficients; EXAMPLE:;     Suppose one has polynomial mapping a nonlinear distortion in the X ;     direction of a spectrum;;     y = 0.2 + 1.1*x + 0.1*x^2;;     if one rebins the spectrum to half the size then the linear transformation;     is  x = 2.*x';     so alpha = 2 and beta = 0;     The new coefficients are;     IDL> print, transform_coeff([0.2,1.1,0.1],2.,0) ;     ==> [0.2, 2.2, 0.4] ; METHOD:;    Performs a binomial expansion of the polynomial and collect like terms;    groups.google.com/group/comp.lang.idl-pvwave/msg/11132d96d9c0f93d?hl=en&; REVISION HISTORY:;   Written   W. Landsman          December 2007compile_opt idl2if N_Params() LT 3 then begin    print,'Syntax - newcoeff = TRANSFORM_COEFF( coeff, alpha, beta) '    if N_elements(coeff) GT 0 then return,coeff else return,-1endif    degree=n_elements(coeff)-1newarray=coeff*0FOR i=0,degree DO BEGIN    FOR j=0,i DO BEGIN       newarray[j] = newarray[j] +  $          coeff[i]*factorial(i)*alpha^j*beta^(i-j)/factorial(j)/factorial(i-j)    ENDFORENDFOR return, newarrayend

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