MATLAB Solution Algorithm for the River Crossing Problem with Merchants
Implementation of a MATLAB-based algorithm to solve the classic river crossing problem involving merchants and cargo transportation constraints.
Professional MATLAB source code with comprehensive documentation and examples
Implementation of a MATLAB-based algorithm to solve the classic river crossing problem involving merchants and cargo transportation constraints.
Application Context Initial alignment of strapdown inertial navigation systems using strong tracking UKF algorithm. Key Technologies Developed an inertial navigation initial alignment program using MATLAB that implements the strong tracking UKF algor
This MATLAB-based program achieves subpixel edge localization with precision of 0.1-0.2 pixels, featuring complete source code and comprehensive documentation. The implementation utilizes advanced interpolation algorithms and gradient-based edge dete
Implementation code for Hidden Semi-Markov Model (HSMM) featuring three comprehensive documents: Initialization Setup, Forward-Backward Algorithm with detailed parameter explanations
This is a custom-developed program for automatically extracting fuzzy rules from datasets. The package includes a main program and several functions capable of automated fuzzy rule extraction, rule merging, and rule optimization with intelligent algo
Sparse representation classification algorithm - a mathematical algorithm for sample classification with L1 regularization and feature selection capabilities
MATLAB simulation program for spectrum sensing algorithm employing cyclostationary feature detection in cognitive radio applications
This article provides a comprehensive guide to integrating Random Forest algorithm implementations in C++ and MATLAB, covering fundamental concepts, code implementation strategies, and cross-platform optimization techniques.
MATLAB image segmentation example utilizing K-means clustering algorithm, implemented through built-in library functions with comprehensive code annotations for easy understanding
An Incremental Face Recognition Algorithm - Incremental PCA Learning Algorithm (MATLAB Implementation)
Simulation code for Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF), featuring comprehensive sensor fusion implementations with practical algorithm demonstrations
Application Context Compressive sensing represents a highly valuable source code implementation with significant practical applications in signal processing, image reconstruction, and communication systems. This program provides comparative analysis
Fundamentals and computational techniques for particle tracking with algorithmic insights
Simulation example of grid-connected doubly-fed wind turbine system, suitable for practical engineering algorithms and research studies. Includes implementation of control strategies and power flow analysis.
Particle filter image processing implementation featuring five specialized subroutines for comprehensive image analysis and enhancement
Programmer's Romantic Approach: I LOVE YOU Implementation through Creative Coding Techniques
Self-developed MATLAB optimization algorithms including Golden Section (0.618) method, Gradient Descent, Conjugate Gradient, and Penalty Function approaches with detailed implementation code and algorithmic explanations.
Implementation of dynamic image tracking using Kalman filter with predictive state estimation and measurement correction mechanisms
Predictor-Corrector Method: Algorithm Implementation for Solving Fractional Differential Equations with Nonlinear Equation Adaptability
Complete implementation programs for PCA (Principal Component Analysis) and KPCA (Kernel Principal Component Analysis), highly valuable for face recognition research with practical code examples and feature extraction methodologies