Explore MATLAB source code curated for "注释" with clean implementations, documentation, and examples.
This MATLAB finite element analysis example for cantilever beams features comprehensive annotations and technical explanations, based on original code developed by senior researchers with enhanced implementation details and algorithm descriptions.
Classic Unscented Kalman Filter tracking framework implementation with detailed code annotations and comprehensive explanations, ideal for beginners learning state estimation techniques.
RLS adaptive filter program for system identification with Gaussian white noise input, featuring detailed code comments and immediate execution capability. The implementation demonstrates real-time parameter adaptation using recursive least squares algorithm.
This function implements a pitch frequency detection algorithm with detailed technical specifications available in the MATLAB file comments. The algorithm has been successfully deployed in engineering projects and demonstrates significant practical value through robust performance in real-world applications.
A verified MATLAB implementation of the Maximum A Posteriori Probability decoding algorithm for convolutional codes, featuring comprehensive code annotations and detailed explanations of the decoding process, algorithm workflow, and key computational steps.
MATLAB implementation of (7,4) Hamming code encoding with flexible generator matrix configuration through commented code modifications
Template-based image matching implemented in MATLAB with concise, well-documented code featuring clear explanatory comments
A digital watermarking code implementation based on the DCT (Discrete Cosine Transform) domain, featuring comprehensive inline comments and detailed explanations of the algorithm workflow.
MATLAB implementation of C4.5 algorithm featuring comprehensive code annotations and systematic data processing for classification tasks
This implementation demonstrates an RBF neural network with K-means clustering for center selection. The code includes comprehensive comments explaining the algorithm. For technical questions regarding the implementation details, feel free to contact me via email.