Explore MATLAB source code curated for "源码" with clean implementations, documentation, and examples.
This speaker recognition and training system provides extensive source code covering complete implementation details, including signal processing workflows and machine learning algorithms for voice pattern analysis.
This is the source code implementation of the Criminisi algorithm, designed for high-quality image inpainting with excellent restoration results. The implementation includes priority-based patch filling and texture synthesis mechanisms.
Complete source code implementation for 1D Discrete Wavelet Transform (DWT) featuring decomposition and reconstruction using db6 wavelet. The implementation allows flexible customization of both mother wavelet and scaling function parameters. Includes comprehensive MATLAB tutorial with practical examples.
K-means clustering algorithm source code implementation with practical examples for machine learning studies, featuring complete Python/Matlab code structure and clustering visualization capabilities.
Integration of ant colony optimization with clustering algorithms for heuristic community structure detection, featuring source code implementation details and key algorithmic approaches.
MATLAB source code for OFDMA physical layer development, originally provided by Freescale. This resource offers valuable implementation examples including key algorithms like subcarrier allocation, cyclic prefix insertion, and FFT/IFFT operations, making it particularly helpful for physical layer engineers working on wireless communication systems.
A comprehensive ISAR imaging tutorial implemented in MATLAB, featuring complete source code, algorithm explanations, and practical application examples to facilitate hands-on learning of inverse synthetic aperture radar imaging techniques.
MATLAB implementation of depth-first search algorithm with added randomness - This program originates from international sources and represents a standard DFS implementation capable of node traversal and cycle detection. The original algorithm has been enhanced with random branching selection, creating a randomized depth-first search variant. Please refer to the original English comments for comprehensive details about the base implementation.
A comprehensive image segmentation software package with full source code implementation, featuring multiple segmentation algorithms and tools that significantly aid MATLAB image recognition and processing research studies.
This repository contains fundamental MATLAB source code implementing the Particle Swarm Optimization algorithm. While intentionally simplified for educational purposes, the implementation provides a clean foundation for customization and extension to solve various optimization problems.