问题
I would like to fit a curve on the form y=a+b*sin(2*pi*x)+c*cos(2*pi*x) to some data points in Matlab. I've been trying to use 'fit' but then I only get this message 'if isa( fittypeobj, 'fittype' )'
This is my code:
L = load('file.mat');
x = filedata(:,1);
ft = fittype('a+b*sin(2*pi*x)+c*cos(2*pi*x)');
fit(x, filedata(:,3), ft)
Can somebody please tell me what I'm doing wrong?
回答1:
Here is how to do the fit 'by hand' in a least-squares way:
x = x(:); %make sure we have column vectors
y = y(:);
f0 = 1;
M = [ones(size(x)), sin(2*pi*f0*x), cos(2*pi*f0*x)];
%design matrix, columns are base vectors
% least square approximation of x = k(1)*M(:,1) + k(2)*M(:,2) + k(3)*M(:,3);
% see help mldivide
k = M \ y;
a = k(1);
b = k(2);
c = k(3);
Quick test to see if it works:
>> x = linspace(0,10,1000)'; % note transpose to make column
>> y = 3 + 1.5 * sin(2*pi*x) + 8 * cos(2*pi*x) + randn(size(x)); % add some noise
>> f0 = 1;
>> M = [ones(size(x)), sin(2*pi*f0*x), cos(2*pi*f0*x)];
>> k = M \ y
k =
3.0383
1.5264
7.9385
>> plot(x, y, x, M*k, 'r'); legend('measurement', 'fit')
来源:https://stackoverflow.com/questions/18433455/fit-arbitrary-curve-to-data-points-in-matlab