Using lsqcurvefit with constant parameters
4 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Chris
el 24 de Jul. de 2014
Comentada: Chris
el 25 de Jul. de 2014
Hi, I am trying to use lsqcurvefit to fit data to an interference function that I created. The problem is that some of the parameters in the function should remain constant through the fitting process (ie. the wavelength of the laser does not change etc...). I have seen some other stabs at this but none that were thorough and actually worked when I ran them. Here is some of my code so you know what I am talking about:
initials = [Aref,Aprobe,w0,z,lambda,phi,x0,y0];
fitfunc = @(initials,x) InterferePhase1(initials,X2);
fitparams = lsqcurvefit(fitfunc,initials, X2 ,imageArray,[], []);
Ideally, I should be able to run this fit and have my initial values for lambda, x0, and y0 stay the same after lsqcurvefit runs.
Let me know if you need any additional information!
Thanks for all your help!
0 comentarios
Respuesta aceptada
Matt J
el 24 de Jul. de 2014
Editada: Matt J
el 24 de Jul. de 2014
initials = [Aref,Aprobe,w0,z,phi];
fitfunc = @(p,pdata) InterferePhase1([p(1:4),lambda,p(5),x0,y0],pdata);
fitparams = lsqcurvefit(fitfunc,initials, X2 ,imageArray);
3 comentarios
Matt J
el 24 de Jul. de 2014
As you can see, though, my proposed fitfunc does pass 8 inputs to InterferePhase1 (that was the whole point). It embeds the 5 unknowns in an 8-vector which includes lambda, x0, and y0.
Más respuestas (0)
Ver también
Categorías
Más información sobre Systems of Nonlinear Equations en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!