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Fitting Data with MATLAB: Exponential & Gaussian by Tommy Asselin is a document available to read on EtoBox.

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This document discusses using Matlab to fit an exponential model to some noisy data. It begins by defining an exponential model function called expon that takes parameters c and xdata. It then generates some random noisy data Y based on an underlying exponential with known parameters. The lsqcurvefit command is used to perform a nonlinear least squares fit of the expon model to the data, with initial parameter guesses provided. Plots of the fitted curve and original data are shown. The document concludes by

Author

Tommy Asselin

Language

EN