Fit 1D and 2D gaussian to noisy data
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.
Zitieren als
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. Abgerufen .
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Inspiriert von: gaussian curve fit, Fit 2D gaussian function to data
Inspiriert: gaussfitn
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Version | Veröffentlicht | Versionshinweise | |
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1.0.0.0 |