How to perform this Complex Exponential Fitting?
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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!
回答（1 个）
the cyclist
2015-7-21
0 个投票
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.
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