3D-Simulation-Visualization

Version 1.0.1 (75.7 KB) by Gyorgy Terdik
3D-Directional Statistics, Simulation and Visualization (3D-Directional-SSV) is a fast, accurate, and convenient way to calculate, simulate,
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Updated 22 Jul 2018
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this package can use the spherical harmonic characterization of a probability density function to generate random samples and plot both the density function as well as the simulated data points. Included in this package, there is one specific order (L = 3) and degree (m = 2) implemented for both real valued spherical harmonics and complex valued spherical harmonics [see Random_Y3_2Real_square.m and Random_Y3_2Compl_square.m,respectively]. Additionally, we developed code that will calculate and plot the densities for alternate specifications of degree and order [see Density_SphHarm.m and Density_SphHarm_All.m], and we encourage the user to explore this area if she or he is so inclined.

Cite As

Gyorgy Terdik (2026). 3D-Simulation-Visualization (https://github.com/TerdikGyorgy/3D-Simulation-Visualization), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.1

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.