Explore MATLAB source code curated for "说明" with clean implementations, documentation, and examples.
Practical examples of DS evidence theory applied to data fusion decisions, complete with implementation explanations and reference materials, demonstrating basic combination rules and conflict resolution algorithms
Comprehensive Vibration Analysis Toolbox featuring complete source code with organized directory structure and detailed documentation, designed to support vibration signal processing and system analysis through MATLAB implementations
This implementation of Probabilistic Principal Component Analysis (PPCA) includes comprehensive internal documentation and explanatory notes. The algorithm represents a classic approach to dimensionality reduction and serves as an excellent reference for statistical modeling implementations.
Main function Alamouti(Nr, max_snr, max_err_symbol, symbol_per_frame) implements the Alamouti space-time coding scheme with the following components: QpskMapping(psudo_bit_sequence) - converts binary data to QPSK modulated symbols; RayleighCH(Nr, Nt) - simulates Rayleigh fading channel characteristics. Example usage: Alamouti(1, 12, 20, 24). Key parameters: 2 transmit antennas and 1 receive antenna configuration, SNR range from 0dB to 12dB, simulation stops when symbol errors exceed 20 at each SNR point, with 24 QPSK symbols per frame.
Comprehensive documentation on implementing neural network PID control using MATLAB, including detailed explanations of Neural Network Toolbox functions and code implementation strategies
Collection of MATLAB Implementations and Explanations for Fundamental Algorithms
Generation, design, and implementation of Gaussian white noise in MATLAB environment with practical code examples and algorithm explanations
MATLAB implementation of Probabilistic Neural Network (PNN) with detailed code explanations and algorithmic insights
Source code for neural network prediction with comprehensive documentation including visualizations, algorithm explanations, and optimization techniques
Classic Unscented Kalman Filter tracking framework implementation with detailed code annotations and comprehensive explanations, ideal for beginners learning state estimation techniques.