Explore MATLAB source code curated for "初学者学习" with clean implementations, documentation, and examples.
Three distinct implementation approaches for HHT with beginner-friendly explanations and practical code-related insights, providing an excellent learning resource for signal processing enthusiasts.
This implementation provides an optimal solution to the knapsack problem using dynamic programming, featuring file I/O operations for reading input from txt files - specifically designed for beginners to learn algorithm implementation and practical coding techniques.
Adaptive Genetic Algorithm source code implemented in MATLAB environment, excellent for beginners to learn optimization algorithms with practical coding examples
Intelligent Optimization Algorithms: MATLAB Program for Ant Colony Algorithm - Complete Implementation for Beginner Learning
A wavelet-based approach for image block processing with watermark embedding and extraction, suitable for beginners to learn and implement with practical code examples
A practical implementation example of ANFIS neural network in MATLAB, designed to help beginners learn and master hybrid intelligent systems through hands-on coding experience
A straightforward image stitching program implementing the SIFT algorithm, capable of stitching two or three images together. The algorithm is provided as an executable file with clear logical structure and well-defined processing steps, making it ideal for beginners to learn basic image stitching workflow. This program helps users understand fundamental image stitching concepts and provides solid foundation for further algorithm study.
A classical MATLAB implementation of an adaptive equalizer using the LMS algorithm, suitable for beginners to learn digital communication system design with practical code examples and adjustable parameters.
Implementation of passive target tracking based on particle filter algorithm, suitable for beginners with clear code structure and detailed commentary.
This simulation tool allows users to configure target quantities and frequency parameters, featuring beginner-friendly educational functionality with progress tracking and community features for enhanced learning outcomes.