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On the gaussian fit i used "polyfit" which gives you en absolut one solution, but have some problems fitting non-linear model.
In the attached file example i use "nlinfit", which can fit any kind of function that you want. the problem is that you need to give here a starting point.
"main.m" include the example code to use nlinfit.
"data.txt" is data (x,y) that needed to be fitted.
"fun.m" is the function to be fitted, in you case it's lorentzian.
Cite As
Yohanan Sivan (2026). lorentzian fit (https://se.mathworks.com/matlabcentral/fileexchange/13648-lorentzian-fit), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (2.08 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |