How to perform this Complex Exponential Fitting?
5 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Experiment result can be represented as a sum of damped exponential, sum over 1..k.
y(n)=sum(a(k)*exp(-(d(k)+j*w(k))*n+j*p(k))
The experimental result, y, is vector from 1..n;
a, d, w, p are parameters to fit, k sets; total parameters to fit are 4*k (or an array of [4 k]);
Only initial k values of "w" can be known a-prior pretty accurately;
How to write a code to do this fitting?
Thanks in advance!
0 commentaires
Réponses (1)
the cyclist
le 21 Juil 2015
If you have the Statistics and Machine Learning Toolbox, then you should be able to use the nlinfit function to do this type of fit.
0 commentaires
Voir également
Catégories
En savoir plus sur Get Started with Curve Fitting Toolbox dans Help Center et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!