Explore MATLAB source code curated for "研究" with clean implementations, documentation, and examples.
A comprehensive example demonstrating the standard Particle Swarm Optimization algorithm, featuring detailed code explanations and algorithm structure analysis suitable for beginners studying optimization techniques.
This code implements research on channel estimation techniques within MIMO-OFDM systems. MIMO and OFDM serve as core technologies for 4G communications, making their combined estimation algorithms a current research hotspot. The implementation includes several key estimation algorithms with direct simulation capabilities for performance evaluation and result visualization.
Study of template matching algorithms for image feature processing, implementing subroutines for image analysis and pattern recognition
A MATLAB-based program for reading and analyzing MIT-BIH ECG database records, providing comprehensive tools for ECG signal processing, feature extraction, and cardiac research applications.
A comprehensive MATLAB SIMULINK program for phase-locked loop (PLL) systems, designed for researchers studying PLL dynamics, featuring detailed simulation models with parameter tuning capabilities and real-time analysis tools
LIBSVM Support Vector Machine for classification identification. This program has been successfully applied in iris recognition research. It is a C program embedded in MATLAB with implementation details for algorithm integration.
Image super-resolution is currently a research hotspot worldwide, primarily focusing on enhancing the resolution of optical images. This technique typically involves deep learning algorithms such as SRCNN (Super-Resolution Convolutional Neural Network) and GAN-based approaches to reconstruct high-frequency details from low-resolution inputs.
A MATLAB-based simulation study on Gold sequence properties in spread spectrum communication systems. Key implementations include: (1) Generating Gold sequence families using MATLAB programming with single-period outputs; (2) Producing all balanced sequences within Gold sequence families using balanced generation methods; (3) Calculating autocorrelation functions and plotting autocorrelation curves; (4) Computing cross-correlation functions and plotting cross-correlation curves between selected sequences.
Harris corner detection implementation with sample images, providing valuable support for electronic image stabilization technology research. The code includes image gradient computation, corner response function calculation, and non-maximum suppression techniques.
The GrabCut algorithm for image segmentation in image processing, empirically proven to achieve high precision, presents implementation challenges but offers substantial research value with its graph-cut optimization approach.