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GitHub topics: rayleigh
stdlib-js/stats-base-dists-rayleigh-kurtosis
Rayleigh distribution excess kurtosis.
Language: JavaScript - Size: 344 KB - Last synced: 29 days ago - Pushed: about 1 month ago - Stars: 2 - Forks: 0
stdlib-js/stats-base-dists-rayleigh-variance
Rayleigh distribution variance.
Language: JavaScript - Size: 343 KB - Last synced: 29 days ago - Pushed: about 1 month ago - Stars: 1 - Forks: 1
stdlib-js/stats-base-dists-rayleigh-mean
Rayleigh distribution expected value.
Language: JavaScript - Size: 316 KB - Last synced: 29 days ago - Pushed: about 1 month ago - Stars: 2 - Forks: 0
stdlib-js/stats-base-dists-rayleigh-mode
Rayleigh distribution mode.
Language: JavaScript - Size: 319 KB - Last synced: 29 days ago - Pushed: about 1 month ago - Stars: 2 - Forks: 0
stdlib-js/random-strided-rayleigh
Fill a strided array with pseudorandom numbers drawn from a Rayleigh distribution.
Language: JavaScript - Size: 2.29 MB - Last synced: 29 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0
stdlib-js/random-array-rayleigh
Create an array containing pseudorandom numbers drawn from a Rayleigh distribution.
Language: JavaScript - Size: 847 KB - Last synced: 29 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0
GairePravesh/Island-Simulation
V semester Computer Graphics Project
Language: C++ - Size: 39.2 MB - Last synced: 9 months ago - Pushed: over 4 years ago - Stars: 2 - Forks: 2
stdlib-js/stats-base-dists-rayleigh-logcdf
Rayleigh distribution logarithm of cumulative distribution function (CDF).
Language: JavaScript - Size: 1.62 MB - Last synced: 17 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0
stdlib-js/stats-base-dists-rayleigh-cdf
Rayleigh distribution cumulative distribution function (CDF).
Language: JavaScript - Size: 1.54 MB - Last synced: 17 days ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0
stdlib-js/stats-base-dists-rayleigh-pdf
Rayleigh distribution probability density function (PDF).
Language: JavaScript - Size: 1.55 MB - Last synced: 17 days ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0
danielshervheim/atmosphere
A tool to precompute atmospheric scattering tables for real-time dynamic atmosphere rendering.
Language: C++ - Size: 985 KB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 29 - Forks: 6
stdlib-js/stats-base-dists-rayleigh-stdev
Rayleigh distribution standard deviation.
Language: Makefile - Size: 303 KB - Last synced: 19 days ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0
Toktom/PyAbsorp
PyAbsorp is a python module that has the main focus to help estimate the Sound Absorption Coefficient using analytical models.
Language: Python - Size: 130 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 9 - Forks: 3
fosfor15/HFCommSystem-MPSK-AdaptEqualizers-ITURHFMultipathChannel
MATLAB Imitation Modeling for the BER of the HF Communication System using M-PSK Modulation in the HF Communication Channel with Multipath and Signal Fading that constructed according to ITU-R Recommendation F.1487
Language: MATLAB - Size: 558 KB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 4 - Forks: 1
k0rventen/xplanet-generator
Xplanet resources & scripts to generate rendered shots of the Earth.
Language: Shell - Size: 67.3 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
stdlib-js/stats-base-dists-rayleigh-median
Rayleigh distribution median.
Language: Makefile - Size: 381 KB - Last synced: 17 days ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0
stdlib-js/random-streams-rayleigh
Create a readable stream for generating pseudorandom numbers drawn from a Rayleigh distribution.
Language: JavaScript - Size: 2.09 MB - Last synced: 17 days ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0
stdlib-js/stats-base-dists-rayleigh
Rayleigh distribution.
Language: Makefile - Size: 1.67 MB - Last synced: 18 days ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0
stdlib-js/stats-base-dists-rayleigh-mgf
Rayleigh distribution moment-generating function (MGF).
Language: Makefile - Size: 1.07 MB - Last synced: 16 days ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0
stdlib-js/stats-base-dists-rayleigh-ctor
Rayleigh distribution constructor.
Language: JavaScript - Size: 2.12 MB - Last synced: 18 days ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0
stdlib-js/stats-base-dists-rayleigh-skewness
Rayleigh distribution skewness.
Language: Makefile - Size: 803 KB - Last synced: 17 days ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0
stdlib-js/stats-base-dists-rayleigh-logpdf
Rayleigh distribution logarithm of probability density function (PDF).
Language: JavaScript - Size: 978 KB - Last synced: 17 days ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0
ndcastillo/mobile-com
This repo contain to a Mobile Communication Notes and Scripts
Language: Jupyter Notebook - Size: 2.12 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
stdlib-js/random-iter-rayleigh
Create an iterator for generating pseudorandom numbers drawn from a Rayleigh distribution.
Language: JavaScript - Size: 2.01 MB - Last synced: 16 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0
stdlib-js/random-base-rayleigh
Rayleigh distributed pseudorandom numbers.
Language: JavaScript - Size: 1.68 MB - Last synced: 17 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0
stdlib-js/stats-base-dists-rayleigh-entropy
Rayleigh distribution differential entropy.
Language: Makefile - Size: 620 KB - Last synced: 17 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0
stdlib-js/stats-base-dists-rayleigh-quantile
Rayleigh distribution quantile function.
Language: JavaScript - Size: 787 KB - Last synced: 17 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0
dhirajhimani/ML-StudyMaterial
This repository contains My daily notes and study material for the ML.
Language: Jupyter Notebook - Size: 281 MB - Last synced: about 1 month ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0
garciparedes/monte-carlo-simulation-rayleigh-distribution
In this work, we study the durability of a device consisting of 11 components, which we will assume Rayleigh variables, organised in different configurations (series, parallel, stand-by, etc.). For this, we will use the Monte Carlo simulation method.
Language: Jupyter Notebook - Size: 1.92 MB - Last synced: 4 months ago - Pushed: about 6 years ago - Stars: 1 - Forks: 0
