Radar System Simulation Framework
Comprehensive radar simulation program package providing a complete framework for radar system modeling and analysis, featuring modular implementation for flexible testing scenarios
Explore MATLAB source code curated for "参考" with clean implementations, documentation, and examples.
Comprehensive radar simulation program package providing a complete framework for radar system modeling and analysis, featuring modular implementation for flexible testing scenarios
A relatively simple video object tracking algorithm implementation, suitable for developers interested in computer vision applications
MATLAB implementations for statistical adaptive signal processing algorithms, suitable for learners and researchers studying adaptive filtering, system identification, and statistical signal analysis techniques
This package contains MATLAB demonstration programs from the book "Neural Network Design" by Martin T. Hagan, Howard B. Demuth, and Mark H. Beale, featuring practical code examples covering various neural network architectures, training algorithms, and implementation techniques.
A straightforward blind equalization simulation program implementing the LMS algorithm, serving as a practical reference for signal processing applications with detailed code structure explanations.
This implementation demonstrates a Laplacian pyramid-based image fusion algorithm with satisfactory results, providing a reference solution for multi-scale image blending.
A speech recognition program based on probabilistic neural network approach, implemented in MATLAB with valuable reference code examples and algorithmic implementations.
MATLAB source code for video watermarking - Part 5 of the compressed package series, providing reference implementation for watermarking enthusiasts with detailed algorithm explanations and code structure.
MATLAB source code for multi-objective optimization algorithms, provided for reference and educational purposes. Includes code implementation details and algorithm explanations.
Signal DOA estimation algorithms, with references for students learning spatial spectrum estimation, including implementation approaches and key algorithm comparisons