Random Variables with Up to 50 Probability Distributions
Capable of generating random variables from up to 50 statistical distributions (Nakagami, Rayleigh, Poisson...), including algorithm implementation details and practical applications.
Introduction to Nakagami Fading Channel Models
This article provides an overview of Nakagami fading channel models with code implementation insights for wireless communication simulations.
MATLAB BER Simulation for MC-CDMA System with 8 Users over Nakagami and Rayleigh Channels
MATLAB source code implementing bit error rate (BER) simulation for multi-carrier code division multiple access (MC-CDMA) systems with 8 users, featuring comparative analysis across Nakagami-m and Rayleigh fading channel models.
Simulation of Nakagami Probability Density Function Using Monte Carlo Method
Implementation of Monte Carlo simulation for Nakagami probability density function with code-based parameter estimation and statistical analysis