Explore MATLAB source code curated for "随机过程" with clean implementations, documentation, and examples.
A major assignment from Tsinghua University's Department of Electronic Engineering focusing on stochastic processes with detailed implementation of martingales and stopping times for game simulations. Features comprehensive code annotations and fully debugged implementations.
This stochastic processes assignment implements time series analysis using MATLAB programming, covering model identification, parameter estimation, and model forecasting. Includes complete assignment documentation for reference.
Face Recognition System: Implementing Principal Component Analysis (PCA) to distinguish between human faces and non-face objects. Primarily developed for a stochastic processes course project, featuring dimensionality reduction and pattern classification techniques.
MATLAB routine for implementing the Poisson process algorithm in stochastic processes, including parameter configuration, random variable generation, and distribution analysis
MATLAB Intelligent Antenna Algorithms (includes simulation codes for electromagnetic field fundamentals, antenna array principles, stochastic processes, propagation channel characteristics, direction-of-arrival estimation, and adaptive beamforming)
MATLAB source code for simulating homogeneous and non-homogeneous Poisson processes in applied stochastic processes, including algorithm implementation and key function descriptions
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 Simulation of Poisson Process Algorithm in Stochastic Processes
Comprehensive MATLAB simulation of Markov chains covering state transition modeling, probability matrix implementation, and convergence analysis with code-based explanations.