MATLAB Program for Chaotic Phenomena in Nonlinear Circuits
MATLAB implementation for analyzing chaotic phenomena in nonlinear circuits with detailed code descriptions
PCA-Based Remote Sensing Image Fusion
MATLAB implementation of PCA-based remote sensing image fusion algorithm, fully compatible with MATLAB 2011b, featuring multi-band image integration and enhanced visualization capabilities.
Chaotic Mapping Poincaré Interface
MATLAB implementation for chaotic mapping Poincaré interface - a compact yet powerful program demonstrating chaotic dynamics visualization
MATLAB Implementation of Martin Spectral Subtraction Algorithm
This file contains a MATLAB implementation of Martin's spectral subtraction algorithm with Chinese annotations included, providing helpful insights for students researching this signal processing technique
GMSK Modulation and Demodulation
MATLAB Implementation of GMSK Modulation and Demodulation
MUSIC Algorithm and ESPRIT Algorithm for Parameter Estimation
MATLAB Implementation of MUSIC and ESPRIT Algorithms for Parameter Estimation
Chaos-Based Adaptive Particle Swarm Optimization Implementation
This is my self-developed MATLAB program implementing chaos-based adaptive particle swarm optimization, which has demonstrated excellent optimization performance in computational experiments.
K-Nearest Neighbors Algorithm MATLAB Implementation
MATLAB program for K-Nearest Neighbors algorithm - highly sought after by developers and researchers!
Simulation of a Chaotic System
MATLAB program for simulating chaotic systems. lyapunov.m serves as the main computational routine; qi_hyper.m provides an implementation example (Qi system) using qi_hyper_lyap.m to calculate all Lyapunov exponents and qi_hyper_lyapDim.m for fractal dimension computation. The program can be adapted for other systems with minor modifications. Verified to be more efficient and accurate than alternative Lyapunov exponent calculation methods.
Image Segmentation Using Clustering Method for Human Eye Localization
MATLAB implementation of clustering-based image segmentation followed by human eye position detection using morphological processing and feature analysis algorithms.