Kruskal's Algorithm for Minimum Spanning Tree Implementation
A self-implemented version of Kruskal's algorithm for minimum spanning trees with duplicate prevention mechanisms - ready for technical review and collaboration
Sensor Fusion Using Kalman Filter for Two-Sensor Signal Integration
Integration of signals from two sensors through a Kalman filter algorithm, with one sensor being a dual-channel accelerometer
Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering
This code implements an enhanced Fuzzy C-Means (FCM) algorithm using morphological reconstruction and membership filtering (FRFCM), delivering significantly improved speed and noise robustness compared to standard FCM. The implementation includes opt
MATLAB Implementation of K-means++ Algorithm with Enhanced Initialization
Implementation of K-means++ algorithm featuring careful seeding methodology for optimized initial cluster center selection
Exploratory Data Analysis (EDA)
Exploratory Data Analysis (EDA) Process and Implementation
PCA+LDA Face Recognition with Enhanced Feature Dimensionality Reduction
PCA+LDA Face Recognition achieves higher accuracy than standalone PCA or LDA algorithms, requiring MATLAB's Dimensionality Reduction Toolbox for feature preprocessing and implementation.
GPS System Simulation
A MATLAB-based simulation program for GPS systems, featuring comprehensive modeling of satellite orbits, receivers, and signal transmission with detailed algorithm implementations.
Cordic Algorithm Implementation for Transcendental Function Computation
MATLAB implementation of CORDIC algorithm for transcendental function calculation with simulation verification and detailed code analysis
Correlation Coefficient Analysis Algorithm
This MATLAB-based algorithm code performs correlation coefficient analysis to measure relationships between variables
MATLAB Implementation of SIFT-PCA Algorithm with Code Resources
Comprehensive collection of SIFT-PCA materials featuring MATLAB code implementations, including detailed algorithm explanations and practical applications for computer vision tasks
Power System Extended Kalman Filter Algorithm
This program implements the Extended Kalman Filter algorithm for power system dynamic state estimation, featuring noise handling and robust state tracking capabilities.
Extraction Algorithms Can Be Customized Based on Embedding Algorithms
Multiple files can be selected based on filenames and comments, extraction algorithms can be autonomously developed according to embedding algorithms, providing robust resistance to compression and cropping effects
Global Path Planning for Optimal Robot Navigation
Implementation of global path planning for optimal robot navigation using MATLAB, featuring a direction-weighted binary tree algorithm.
PF, EKF, UKF, UPF, EPF with MCMC Algorithm Integration
Comprehensive overview of probabilistic filtering algorithms including PF, EKF, UKF, UPF, EPF with MCMC algorithm enhancements and implementation approaches.
Simple Moving Object Detection Algorithm
A foundational moving object detection program implemented in MATLAB, designed specifically for beginners in computer vision and image processing.
MATLAB Implementation of License Plate Localization Algorithm Using Row Scanning Technique
This MATLAB-based license plate localization algorithm employs row scanning methodology, delivering highly accurate positioning results with robust image preprocessing and edge detection capabilities.
Solving the One-Dimensional Container Loading Problem with Extensible Algorithm Insights
This source code provides an efficient solution for the one-dimensional container loading problem while offering foundational algorithmic approaches that can be extended to two-dimensional and three-dimensional scenarios. The implementation demonstra
MATLAB Implementation of Gray GM(1,1) Model with Modular Function Design
This Gray GM(1,1) model is implemented as a reusable MATLAB function containing comprehensive inline comments. The modular architecture allows easy adaptation to other gray system algorithms through parameter modifications and component replacements.
Semi-Supervised Graph Embedding Algorithm Based on Pairwise Constraints
This code implements a semi-supervised graph embedding algorithm that leverages pairwise constraints to learn low-dimensional representations, enhancing graph structure visualization through similarity and dissimilarity optimization.
MATLAB Implementation of Lasso Algorithm with Stanford Source Code
Original Lasso algorithm source code developed by Stanford University, featuring robust implementation with coordinate descent optimization and cross-validation support