Trying to find best fit for cosine curve

42 views (last 30 days)
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!

Accepted Answer

Star Strider
Star Strider on 21 Apr 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 Comments
Star Strider
Star Strider on 24 Feb 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 on 6 Jun 2021
How can I constrain this fit to 2pi?

Sign in to comment.

More Answers (0)

Categories

Find more on Descriptive Statistics in Help Center and File Exchange

Community Treasure Hunt

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

Start Hunting!