Explore MATLAB source code curated for "应用" with clean implementations, documentation, and examples.
Comprehensive code examples and implementation techniques for mathematical modeling algorithms discussed in Chapter 3, featuring practical applications and detailed programming approaches
This resource features the Genetic Algorithm Toolbox developed by the University of Sheffield, along with corrected and debugged source code examples from Professor Lei Yingjie's "MATLAB Genetic Algorithm Toolbox and Its Applications" book. The implementation includes bug fixes, successful debugging, and enhancements for practical applications.
Time delay beamforming, widely used in sonar and radar applications, creates spatial directivity patterns and achieves spatial filtering through signal processing algorithms
Comprehensive guide to 3D radar imaging technology and its applications, covering fundamental principles with practical implementation insights - an exceptional technical resource
An SVM classifier designed for speech signal classification and recognition applications, featuring comprehensive content with selective implementation guidance for developers.
Project: Design and Application of Digital Filters Design Requirements: Using MATLAB software with composite signal separation as an example, this project simulates three key processes from the "Digital Signal Processing" course: spectral analysis, digital filter design, and signal filtering. Implementation involves creating composite signals, designing elliptic IIR filters (low-pass, band-pass types), and analyzing separation/resynthesis results through frequency domain and time domain observations.
This resource package contains a comprehensive PDF book on Finite Element Analysis and Applications, accompanied by corresponding MATLAB source code implementations for practical learning.
A comprehensive paper discussing the implementation of optimization problem solutions using MATLAB's Genetic Algorithm Toolbox, featuring code implementation approaches and practical case studies.
Introduction to the application of Particle Swarm Simulated Annealing Algorithm in function optimization with algorithmic implementation insights
Principles, Applications, and Computational Methods of Weighted Least Squares Algorithm