The simulation of stationary time-series (discrete-time random process) with a specific autocorrelation function (ACF) and continuous probability distribution.
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The simulation of stationary time-series (discrete-time random process) with a specific autocorrelation function (ACF) and continuous probability distribution.
A comprehensive toolkit for ergodicity economics and related fields.
CS 5291 Stochastic Process for Networking 2022 Course Materials
This repository consists of codes that I developed for EEG and ECG signal processing
Matlab code to generate atmospheric turbulence for skew flow. Application: Wind engineering, structural dynamics, boundary layer meteorology.
Minimalist Matlab implementation of a random process generation in one point
Analyzing random processes to determine stationarity using statistical methods and implements analog-to-digital conversion, quantization, and signal transmission with noise in MATLAB.
Contains several MATLAB codes to run forward UQ using intrusive (stochastic Galerkin finite element method) or non-intrusive (sampling/quadrature), Karhunen-Loeve expansion etc.
Matlab functions to test the stationarity of a random process
A non-Gaussian distribution is generated from a Gaussian-distributed white noise
Some statistical method in diffusion stochastic processes. Numerical schemes and parameter estimation
Practical implementation of algorithms, concepts and techniques from subjects such as Linear Algebra, Random Processes & Probability and PyTorch.
Markov Analysis using Rust
Apuntes sobre el libro "Probability, random variables, and stochastic processes" de Athanasios Papoulis y S. Unnikrishna Pillai.
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