GridCal, a cross-platform power systems software written in Python with user interface, used in academia and industry.
-
Updated
Jul 10, 2024 - MATLAB
GridCal, a cross-platform power systems software written in Python with user interface, used in academia and industry.
OpenCossan is an open and free toolbox for uncertainty quantification and management.
Channel estimations based on RLS, LMS and ML methods.
Channel Modelling using Monte Carlo Simulation for UWOCs
Adaptive equalizer implementations based on RLS(Recursive Least Squares) and LMS(Least Mean Squares).
Monte Carlo simulations and Point Estimate Methods
OpenCossan represents the core of COSSAN software. All the algorithms and methods have been coded in a matlab toolbox allowing numerical analysis, reliability analysis, simulation, sensitivity, optimization, robust design and much more. Released under the LGPL license, the engine can be used, modified and redistributed free of charge. It is supp…
Meta-analysis toolbox for basic research applications. Developed in MATLAB R2016b.
Monte Carlo Simulator for Bit Error Rate Estimation in Digital Communication
Estimating unknown static channel coefficients on a communication system utilizing Maximum Likelihood Single-Shot Estimation algorithm.
Project source code and data for uncertainty quantification on combustion instability prediction using a machine-learning-enhanced strategy
Diversity combining techniques
ARBO is a package for simulation and analysis of arbovirus nonlinear dynamics.
This repository consists of files which include the thesis report and MATLAB programs for my BEng Final Year Individual Project.
Simple bootstrap and SVAR packages for MATLAB have been developed.
Computationally efficient equalization implementation for known channel. The equalizer works in the frequency domain.
MScA project
This MATLAB code implements the classical Monte Carlo method for solving partial differential equations (PDEs). The code uses the log function of the norm of a random vector as an example PDE and computes the solution at time T=1 and initial condition x0=0.
Add a description, image, and links to the monte-carlo-simulation topic page so that developers can more easily learn about it.
To associate your repository with the monte-carlo-simulation topic, visit your repo's landing page and select "manage topics."