Golden Section Search Algorithm for Unimodal Function Minimization
The golden section search method provides an efficient MATLAB implementation for finding the minimum value of unimodal functions through iterative interval reduction
Explore MATLAB source code curated for "代码" with clean implementations, documentation, and examples.
The golden section search method provides an efficient MATLAB implementation for finding the minimum value of unimodal functions through iterative interval reduction
A digital watermarking code implementation based on the DCT (Discrete Cosine Transform) domain, featuring comprehensive inline comments and detailed explanations of the algorithm workflow.
This repository contains comprehensive MATLAB implementations of time-frequency analysis techniques for signal processing applications.
JPEG-Based Image Tampering Detection Code Implemented on MATLAB Platform
This is the implementation code for an adaptive motion estimation algorithm, available for download to support learning and reference purposes. The algorithm features automatic parameter adjustment and optimized performance across various scenarios.
DBN source code serves as one of the fundamental implementations suitable for beginners in deep learning, covering essential concepts and architecture.
This MATLAB project implements handwritten digit recognition using neural networks, containing complete source code and presentation slides. The codebase provides practical solutions for digit recognition tasks and demonstrates neural network implementation techniques including data preprocessing, network architecture design, and training methodologies.
Code implementation for generating alpha stable distribution samples using the Chambers-Mallows-Stuck method with detailed parameter configuration and usage examples.
MATLAB simulation code implementation for the LEACH routing protocol with performance analysis capabilities
Following the principle of sharing valuable resources, we are releasing a complete commercial-ready MATLAB license plate recognition system developed internationally. This implementation includes robust image processing algorithms and pattern recognition techniques. Note that the codebase contains English documentation - language comprehension is the user's responsibility. Two additional related resources will be published subsequently.