Explore MATLAB source code curated for "源码" with clean implementations, documentation, and examples.
MATLAB source code designed for auxiliary wavelet analysis and applications, featuring implementations of common conventional algorithms and fast algorithms for wavelet analysis. This repository serves as an effective learning tool for understanding wavelet transform principles through practical code examples.
A MATLAB implementation of image multi-resolution pyramid with guaranteed functionality, featuring high-quality source code and two sample images for demonstration purposes. The code provides pyramid construction through Gaussian filtering and downsampling operations.
Source code for face detection and facial landmark localization from 2014 CVPR, featuring convolutional neural networks and cascade regression algorithms
Adaptive Genetic Algorithm source code implemented in MATLAB environment, excellent for beginners to learn optimization algorithms with practical coding examples
Particle Swarm Optimization Source Code: Implementation Methodology and Application in Robotic Path Planning Systems
This repository provides a reference implementation of OFDM (Orthogonal Frequency Division Multiplexing) under the IEEE 802.11 protocol standard, featuring detailed code-level insights into modulation/demodulation techniques and frame structure handling.
Communication Experiment Guide: MATLAB implementation of Huffman coding with complete source code and detailed documentation, including algorithm explanations and key function descriptions.
Fundamental code for converting color images to grayscale images. This represents the most essential source code used in MATLAB image processing workflows, though surprisingly many MATLAB distributions don't include this as a built-in function by default.
A MATLAB source code implementation for simulating heterogeneous networks
This code implements compressed sensing reconstruction for MRI images, serving as the source code implementation from the seminal 2007 paper "Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging" by Lustig, Donoho, and Pauly.