Professional MATLAB source code with comprehensive documentation and examples
PCA MATLAB source code with clear program structure, featuring modular design for covariance matrix computation, eigenvalue decomposition, and principal component projection - a valuable resource for machine learning implementations.
MATLAB simulation of the normalized adaptive LMS algorithm with code implementation details and theoretical background
Algorithms for implementing evolutionary games on small-world networks within complex network frameworks, including code implementation strategies and practical applications.
General MATLAB source code for integer programming branch and bound algorithm where parameter meanings align with MATLAB's optimization toolbox linear programming function linprog. Before calling the function, input parameters must be converted to MA
MATLAB-based 2D Electrical Impedance Tomography algorithm for medical imaging applications, featuring finite element meshing for forward problem solution and inverse problem reconstruction algorithms, accompanied by comprehensive network meshing data
Step-by-step MATLAB implementation of Recursive Least Squares (RLS) algorithm, fully tested and executable in MATLAB environment with adaptive filtering applications
This MATLAB script implements image segmentation by combining region growing and edge detection algorithms
This document provides an in-depth comparison and analysis of several nonlinear filtering methods including Kalman Filter (KF), Extended Kalman Filter (EKF), and Particle Filter (PF), with robust technical insights and implementation considerations.
Costas Carrier Recovery Algorithm Phase-Locked Loop with Clear Code Annotations and Implementation Details
This document contains MATLAB implementations of five key algorithms: Extended Kalman Filter (EKF) for nonlinear estimation, Converted Measurement Kalman Filter (CMKF) with bias removal, Least Squares fitting method, comparative analysis of these thr
A simulation leveraging Pareto optimality and co-evolutionary algorithms applicable to multi-objective optimization problems, featuring implementation insights for efficient solution searching.
Implementation of the MCA (Morphological Component Analysis) algorithm for separating point-like and curve-like targets, featuring detailed functional descriptions and optimized code structure for clear understanding and practical application
Original MATLAB implementation of AIC system identification algorithm for reference and study
Simulation algorithm for compressed sensing utilizing the SOMP (Simultaneous Orthogonal Matching Pursuit) recovery algorithm.
Implementation of Bacterial Foraging Optimization Algorithm for proportional-integral controller parameter optimization, featuring comprehensive code structure explanation and algorithmic workflow - ideal for beginners learning bio-inspired optimizat
Self-Organizing Map (SOM) algorithm implemented in MATLAB, featuring classic textbook examples with comprehensive code structure and neural network implementation details
Detailed explanation of UKF algorithm implementation in MATLAB with testing examples, ideal for UKF beginners with added code implementation insights
Achieving point-track association for two constant velocity moving targets through Joint Probability Data Association (JPDA) algorithm with Kalman filter integration
Classical image fusion algorithms including IHS transformation, PCA-based fusion, and weighted fusion methods. The provided MATLAB/Python implementation is ready-to-run with comprehensive code documentation. Welcome to download and experiment with th
This program generates phase diagrams and Poincaré sections for chaotic systems. Users simply need to define the corresponding chaotic differential equations to automatically visualize the system's dynamics. The implementation supports parameter cust