3D-Simulation-Visualization

3D-Directional Statistics, Simulation and Visualization (3D-Directional-SSV) is a fast, accurate, and convenient way to calculate, simulate,
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Aktualisiert 22. Jul 2018

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.

Zitieren als

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

Kompatibilität der MATLAB-Version
Erstellt mit R2016b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
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Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version Veröffentlicht Versionshinweise
1.0.1

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.