Explore MATLAB source code curated for "参考文献" 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
A MATLAB code example implementing stochastic dynamic programming with reference materials, suitable for beginners learning algorithmic implementation and theoretical foundations.
MATLAB implementations of two fuzzy enhancement and fuzzy contrast enhancement algorithms accompanied by 4 relevant references.
Explore classic data assimilation algorithms featuring the Ensemble Kalman Filter, implemented in MATLAB with reference materials. Ideal for beginners learning numerical implementation and matrix operations for state estimation.
A particle swarm optimization algorithm example with comprehensive code implementation and reference materials for further study.
Implementation of Support Vector Data Description for fault diagnosis, featuring extensive code annotations, detailed algorithm explanations, and comprehensive reference documentation
Implementation of Direction of Arrival estimation using MUSIC algorithm; The compressed package includes high-quality reference documents and MATLAB/Python code with detailed implementation examples.
Modeling and Analysis of Phase Noise with Single-Channel Modeling and Simulation, primarily referencing the research paper "Effects of LO Phase and Amplitude Imbalances and Phase Noise on M-QAM Transceiver Performance." This includes MATLAB-based simulation approaches for phase noise generation and QAM system performance evaluation.
Original source code for minimum cross-entropy image segmentation with implementation details. Related references are included in the source code comments.
A comprehensive Simulink model implementation of the Magic Formula tire model in MATLAB, including technical references and specific fitting parameters. The model handles pure lateral, pure longitudinal, and combined slip conditions, with capabilities for further analysis and solution refinement in the MATLAB workspace.