MATLAB Implementation of 16QAM Modulation and Demodulation
MATLAB implementation of 16QAM modulation and demodulation with constellation diagram visualization for signal transmission and reception analysis
Explore MATLAB source code curated for "matlab代码" with clean implementations, documentation, and examples.
MATLAB implementation of 16QAM modulation and demodulation with constellation diagram visualization for signal transmission and reception analysis
Implementation of background subtraction using median approximation algorithm with MATLAB code demonstrating practical image processing techniques.
Up-to-date MATLAB code for SIFT feature extraction with excellent performance, featuring robust algorithm implementation and comprehensive functionality for image processing applications
MATLAB code implementation of the perceptron algorithm with detailed technical explanations and implementation insights
This MATLAB-based program implements weak signal detection utilizing autocorrelation algorithms, featuring configurable signal processing parameters and noise threshold settings for enhanced detection accuracy.
Modified and validated MATLAB implementations of various genetic algorithms (GA) from Wiley books, along with additional optimization techniques such as Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). These enhanced codes are ready for immediate use with improved performance and efficiency.
A beginner-friendly Unscented Kalman Filter (UKF) implementation in MATLAB featuring comprehensive examples and detailed code explanations for nonlinear state estimation
Classic finite element source code developed by international universities, featuring comprehensive documentation with algorithm explanations and implementation details
MATLAB code companion for S. Haykin's "Adaptive Filter Theory" 4th Edition, featuring practical implementations of adaptive filtering algorithms and signal processing applications
Implementing image grayscale transformation in MATLAB to analyze the impact of various transformation methods on final image outcomes, with code-based demonstrations of key algorithms and functions.