orthogonal.m

有理拟合的两个例程

function [P,coeff]=orthogonal(rec,omega,phitheta,kmax)

%ORTHOGONAL Orthogonal polynomials required for rational fraction 
% polynomials method. (This code was written to be used with rfp.m)
%
% Syntax: [P,coeff]=orthogonal(rec,omega,phitheta,kmax)
%
% rec      = FRF measurement (receptance).
% omega    = frequency range vector (rad/sec).
% phitheta = weighting function (must be 1 for phi matrix or 2 for 
%            theta matrix).  
% kmax     = degree of the polynomial.
% P        = matrix of the orthogonal polynomials evaluated at the 
%            frequencies.
% coeff    = matrix used to transform between the orthogonal polynomial 
%            coefficients and the standard polynomial.
%
% Reference: Mark H.Richardson & David L.Formenti "Parameter Estimation 
%           from Frequency Response Measurements Using Rational Fraction 
%           Polynomials", 1篒MAC Conference, Orlando, FL. November, 1982.
%**********************************************************************
%Chile, March 2002, Cristian Andr閟 Guti閞rez Acu馻, [e-mail]
%**********************************************************************

if phitheta==1
	q=ones(size(omega)); %weighting function for phi matrix
elseif phitheta==2
	q=(abs(rec)).^2;     %weighting function for theta matrix
else
	error('phitheta must be 1 or 2.')
end

R_minus1=zeros(size(omega));
R_0=1/sqrt(2*sum(q)).*ones(size(omega));
R=[R_minus1,R_0];    %polynomials -1 and 0.
coeff=zeros(kmax+1,kmax+2);
coeff(1,2)=1/sqrt(2*sum(q));

%generating orthogonal polynomials matrix and transform matrix
for k=1:kmax,
	Vkm1=2*sum(omega.*R(:,k+1).*R(:,k).*q);
	Sk=omega.*R(:,k+1)-Vkm1*R(:,k);
	Dk=sqrt(2*sum((Sk.^2).*q));
	R=[R,(Sk/Dk)];
	coeff(:,k+2)=-Vkm1*coeff(:,k);
	coeff(2:k+1,k+2)=coeff(2:k+1,k+2)+coeff(1:k,k+1);
    coeff(:,k+2)=coeff(:,k+2)/Dk;
end

R=R(:,2:kmax+2);         %orthogonal polynomials matrix
coeff=coeff(:,2:kmax+2); %transform matrix

%make complex by multiplying by i^k
i=sqrt(-1);
for k=0:kmax,
   P(:,k+1)=R(:,k+1)*i^k; %complex orthogonal polynomials matrix
   jk(1,k+1)=i^k;
end
coeff=(jk'*jk).*coeff;    %complex transform matrix
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