Radar System Simulation and Analysis
Complete code implementation for radar system simulation and analysis, featuring comprehensive signal processing algorithms and target detection methods for technical learning
Explore MATLAB source code curated for "学习" with clean implementations, documentation, and examples.
Complete code implementation for radar system simulation and analysis, featuring comprehensive signal processing algorithms and target detection methods for technical learning
MATLAB implementation of fuzzy clustering algorithm with comprehensive code structure, featuring key functions like fuzzy c-means (FCM) initialization, membership matrix calculation, and cluster centroid updates.
This compressed archive provides comprehensive documentation of Dr. Robert Piche's Bayesian algorithm theory and research notes, including source code implementation with two additional MATLAB (.m) files for practical implementation examples
Essential algorithm framework and computational methods for studying Fractional Fourier Transform - Core mathematical foundations and practical implementation approaches required for FRFT applications
Microsoft Research's Speaker Recognition Toolkit featuring GMM-UBM and I-Vector implementations. The demo_gmm_ubm_artificial.m and demo_ivector_plda_artificial.m files provide educational examples demonstrating simulated feature parameter generation, model training, and recognition processes - ideal for researchers learning fundamental speaker recognition algorithms. Detailed usage instructions are available in the internal documentation.
This program provides a MATLAB implementation of continuous phase modulation with coherent demodulation, designed to assist in learning digital communication techniques through practical code examples.
This personally improved and debugged inter-frame difference method serves as a valuable resource for developers studying vehicle detection algorithms, with optimized code implementation and parameter tuning.
A beginner-friendly MATLAB implementation of Gaussian smoothing filter for digital image processing, featuring algorithm explanations and practical code examples for educational purposes.
A comprehensive Kalman filter implementation featuring a MATLAB GUI interface (matlab-kalman-GUI). This fully commented program includes three practical sample implementations with clear algorithm explanations. Serves as an excellent development guide for understanding and designing various Kalman filter types, featuring key functions for state prediction, measurement updates, and covariance calculations. Includes supplemental documentation from initial learning stages to support research and educational purposes. (No password required)
Comprehensive SIFT-based image registration implementation. Essential learning resource for SIFT algorithm with complete code examples and detailed feature matching workflows.