Effacer les filtres
Effacer les filtres

Trying to find best fit for cosine curve

51 vues (au cours des 30 derniers jours)
Matthew
Matthew le 21 Avr 2016
Commenté : Ali Alamri le 6 Juin 2021
Hello,
I have 4 data points that I have plotted and are supposed to yield a cosine wave. How do I go about finding the best fit for this cosine wave? I understand 4 points is not a lot but am trying to get the best fit I can.
data = [1 4.2101; 2 -33.0595; 3 -5.6488; 4 76.2462]
Thank you for your help!

Réponse acceptée

Star Strider
Star Strider le 21 Avr 2016
This works:
data = [1 4.2101; 2 -33.0595; 3 -5.6488; 4 76.2462];
x = data(:,1);
y = data(:,2);
yu = max(y);
yl = min(y);
yr = (yu-yl); % Range of ‘y’
yz = y-yu+(yr/2);
zx = x(yz(:) .* circshift(yz(:),[1 0]) <= 0); % Find zero-crossings
per = 2*mean(diff(zx)); % Estimate period
ym = mean(y); % Estimate offset
fit = @(b,x) b(1).*(sin(2*pi*x./b(2) + 2*pi/b(3))) + b(4); % Function to fit
fcn = @(b) sum((fit(b,x) - y).^2); % Least-Squares cost function
s = fminsearch(fcn, [yr; per; -1; ym]) % Minimise Least-Squares
xp = linspace(min(x),max(x));
figure(1)
plot(x,y,'b', xp,fit(s,xp), 'r')
grid
  11 commentaires
Star Strider
Star Strider le 24 Fév 2018
Since the sine and cosine are related by a phase difference of pi/2, the phase term here will allow the function to fit both. This is basic trigonometry.
Ali Alamri
Ali Alamri le 6 Juin 2021
How can I constrain this fit to 2pi?

Connectez-vous pour commenter.

Plus de réponses (0)

Catégories

En savoir plus sur Linear and Nonlinear Regression dans Help Center et File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by