Abstract: Cell-free (CF) massive multiple-input multiple-output (mMIMO) is a promising state-of-the-art technology that has been developed to solve the inter-cell interference problem in mMIMO. In a ...

This project explores the analysis and modeling of stochastic processes using Auto-Regressive (AR) models. Implemented in MATLAB, the project covers: Simulating and analyzing synthetic signals.

Abstract: Nonintrusive load monitoring (NILM) is an economical technology for promoting demand-side management (DSM) by offering electricity usage details. Driven by the fact that most existing NILM ...

The PLoM (Probabilistic Learning on Manifolds) software is a MATLAB-based toolbox designed to perform advanced probabilistic modeling and learning on manifolds. It is particularly useful for analyzing ...