Fit 1D and 2D gaussian to noisy data

Example routines for fitting 1D & 2D Gaussian curves to noisy data.
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Mise à jour 22 jan. 2016

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Two example scripts are presented. The first program generates a 1D Gaussian from noisy data by two different strategies. First, using a semi-analytical method and secondly by using Matlab's "lsqcurvefit" function. Both results can be compared. The second program attempts to generate a 2D Gaussian from noisy data. This script is a re-formulation of the original idea by G. Nootz as the code is now more transparent and shorter.

Citation pour cette source

Manuel A. Diaz (2024). Fit 1D and 2D gaussian to noisy data (https://www.mathworks.com/matlabcentral/fileexchange/55033-fit-1d-and-2d-gaussian-to-noisy-data), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2013b
Compatible avec toutes les versions
Plateformes compatibles
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En savoir plus sur Linear and Nonlinear Regression dans Help Center et MATLAB Answers
Remerciements

Inspiré par : gaussian curve fit, Fit 2D gaussian function to data

A inspiré : gaussfitn

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Version Publié le Notes de version
1.0.0.0