The simulation of stationary time-series (discrete-time random process) with a specific autocorrelation function (ACF) and continuous probability distribution.
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Updated
Feb 4, 2024 - Python
The simulation of stationary time-series (discrete-time random process) with a specific autocorrelation function (ACF) and continuous probability distribution.
Minimalist Matlab implementation of a random process generation in one point
Matlab code to generate atmospheric turbulence for skew flow. Application: Wind engineering, structural dynamics, boundary layer meteorology.
A non-Gaussian distribution is generated from a Gaussian-distributed white noise
Principles of Communication Systems [ECE 891] - CA#4 - Fall 2022 - University of Tehran - Dr. Sabaghian
CS 5291 Stochastic Process for Networking 2022 Course Materials
Matlab functions to test the stationarity of a random process
Apuntes sobre el libro "Probability, random variables, and stochastic processes" de Athanasios Papoulis y S. Unnikrishna Pillai.
Implementation and visualization of some random processes.
This repository consists of codes that I developed for EEG and ECG signal processing
Markov Analysis using Rust
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