Fit3dParametricCurv​e

Two nonlinear methods to fit multidimensional paths

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Updated 28 Jul 2022

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Fits a nonlinear parametric vector path to simulated noisy 3d coordinate value observations with different normal distribution variance for each coordinate. To perform the fit, a single scalar function incorporating all three coordinates, with logical flags indicating the coordinate direction, is supplied to fitnlm. A maximum likelihood fit is also obtained using fmincon and gives consistent results. Consistency checks are performed by fitting one coordinate alone with fit and polyfit.
The techniques could be used for fitting similar related groups of observations with uncorrelated noise.

Cite As

Duncan Carlsmith (2023). Fit3dParametricCurve (https://www.mathworks.com/matlabcentral/fileexchange/101038-fit3dparametriccurve), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2021b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Fit3dParametricCurves

Version Published Release Notes
1.0.2

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1.0.1

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1.0.0