Explore MATLAB source code curated for "泊松过程" with clean implementations, documentation, and examples.
MATLAB-based stochastic process simulation implementations including Poisson processes, exponential distributions, Gaussian distributions with detailed algorithm descriptions and code examples
A MATLAB-based simulation of a queuing system with a total buffer capacity of 10 (including the customer being served). The implementation features: (1) Poisson arrival process (rate Mu) with independent exponential service times (mean 1/Lambda). Simulations conducted for Mu/Lambda ratios of 0.2, 0.8, and 1.1 to calculate probability P(n) of n customers in the system (n=0,...,10), with comparisons to theoretical results. (2) Alternative configuration with uniform arrival process (rate Mu) and independent Rayleigh-distributed service times (mean 1/Lambda). The code utilizes event-driven simulation approach with proper random number generation for statistical accuracy.
Implementation of Poisson Process simulation in MATLAB with comprehensive parameter estimation techniques using maximum likelihood estimation and statistical analysis methods
MATLAB Code Implementation for Stochastic Process Simulation - Techniques for simulating Poisson processes, exponential distributions, and Gaussian distributions with practical code examples and algorithm explanations
Implementation and parameter estimation of Poisson process using MATLAB with code examples