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warning off load("HW6Dataset1.mat") % Assuming variable names are delta, intensity % Defining Fit type myfittype = fittype('A + B*cos(phi+delta)','dependent',{'Intensity'},... 'independent',{'delta'},'coefficients',{'A','B','phi'}); % Fiting Data [myfit,gof] = fit(delta,intensity,myfittype); % myfit is cfit object which is our model % gof is a struct containing % values defining goodness of fit % like Squared errors, % rsquare, root mean square error % For getting value of phi phi = myfit.phi; % For getting OPD lam = 385; OPD = (lam/(2*pi))*phi; % Plot using this to confirm if it fits data nearly plot(myfit,delta,intensity) % enter 'myfit' without qoutes in command window to get 95% confidence intervals of obtained % coefficients
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Homework 6-(Week 11, Lab) Submission deadline, 04/14/2019 at 9pm Problem 1: An interferometer is ...