Area Normalized 1D Supergaussian and Fitting Noisy Data

versión 1.0.0 (136 KB) por Meg Noah
Creates area normalized 1D Supergaussian profile.

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Actualizada 8 Mar 2021

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Function creates an area normalized supergaussian for user input coordinates and center point, size at max/e (width), and supergaussian P value.

Another function shows how to fit noisy data to a supergaussian. First, estimate area, width, and center point. Then find minimum values for a sweep of possible supergaussian integers. The solution is the best of the best fit.

The fitting demo, uses the imnoise function of the image toolbox. This can be commented out to use just regular random noise..

Citar como

Meg Noah (2022). Area Normalized 1D Supergaussian and Fitting Noisy Data (, MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2020b
Compatible con cualquier versión
Compatibilidad con las plataformas
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