Explore MATLAB source code curated for "初学者" with clean implementations, documentation, and examples.
Self-developed implementation of quadratic and cubic B-splines suitable for wavelet transformations and curve fitting applications. This code provides a foundational framework for beginners to study, modify, and extend with additional features for enhanced functionality.
Classic implementation scenarios for particle swarm optimization algorithm development, ideal for beginners to quickly grasp the fundamentals with practical code examples
Self-developed implementation of seismic convolution model building in seismic data, featuring comprehensive annotations for each section, ideal for beginners through clear algorithmic explanations and practical code demonstrations
Data Envelopment Analysis (DEA) program for multi-objective decision making, featuring comprehensive inline comments that make it ideal for beginners learning optimization algorithms.
MATLAB code with comprehensive annotations for Discrete Multitone Transmission (DMT), featuring algorithm explanations and key function descriptions - ideal for beginners in digital communications
Blind source separation under convolutional conditions is extremely valuable for beginners, providing foundational knowledge in signal processing algorithms and their practical implementations.
RC charging circuit simulation model for visualizing exponential curve variations, suitable for beginners as a learning reference with practical MATLAB/Simulink implementation examples
This resource provides a detailed explanation of Linear Matrix Inequality (LMI) methodologies, featuring a practical example implemented using MATLAB. It demonstrates constraint formulation, algorithm selection, and includes code implementation details, making it particularly valuable for beginners in control systems and optimization.
A simulation program for fourth-order higher-order cumulants, designed to help beginners master cumulant knowledge with interactive code examples and practical exercises.
A MATLAB program for grey system implementation: Features grey prediction algorithms with beginner-friendly code structure and detailed explanatory comments.