Explore MATLAB source code curated for "学习" with clean implementations, documentation, and examples.
Comprehensive MATLAB simulation materials covering MIMO channel modeling, channel capacity calculations, and coding schemes. This resource provides practical implementation examples and code demonstrations for effective MIMO simulation learning.
Comprehensive MATLAB implementations of compressive sensing algorithms with detailed explanations, ideal for beginners. Includes 7 specialized SAR radar codes covering signal processing and imaging techniques.
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.
Complete MATLAB implementation of Artificial Fish Swarm Algorithm with rich content, highly valuable for learning and reference purposes.
Comprehensive Study of Radiation Patterns in 4-Element Dipole Antenna Arrays with Implementation Insights
HMM initial recognition estimation with compact implementation, ideal for learning Hidden Markov Model applications in speech processing with minimal code complexity.
This MATLAB source code implements image edge detection based on ant colony optimization algorithm, featuring comprehensive comments for learning and reference purposes. The code demonstrates how artificial ants simulate natural foraging behavior to detect image edges effectively.
A simulation program for scheduling algorithms in wireless communication systems, includes comprehensive documentation for learning with code implementation examples and algorithm analysis
This program implements image decomposition and reconstruction using Haar wavelet transform, providing executable source code that has been debugged and is suitable for learning purposes. The implementation demonstrates multi-level wavelet decomposition and reconstruction algorithms with efficient matrix operations.
A comprehensive MATLAB-based HDR image processing toolkit featuring HDR image synthesis, Tone Mapping Operators (TMO), complete file path organization, and includes working examples with sample images. An excellent educational resource for computational photography.