Cubature Kalman Filter Implementation Example
A practical cubature Kalman filter example demonstrating sensor noise reduction techniques and MATLAB implementation with parameter optimization
MATLAB Graphical User Interface (GUI) Development Tools
Comprehensive overview of MATLAB's GUI development commands and tools, including implementation approaches for creating interactive interfaces
MATLAB Implementation of EMD Decomposition and Hilbert-Huang Transform (HHT)
Implementation of Empirical Mode Decomposition (EMD) and Hilbert-Huang Transform with IMF visualization capabilities, serving as an effective tool for HHT research and non-stationary signal analysis
YALE Face Database: A Comprehensive Toolkit for Face Recognition Research
YALE Face Database contains 15 subjects with 11 facial images per person, providing robust data for developing and testing face recognition algorithms through various lighting conditions and expressions.
PASCAL VOC2012 Toolkit: Comprehensive Framework for Object Detection
PASCAL VOC2012 Toolkit - An advanced object recognition framework featuring robust annotation tools and evaluation metrics, essential for computer vision research and development.
MATLAB Tool for Signal Envelope Extraction
An excellent MATLAB utility for signal envelope detection and analysis with robust algorithm implementation.
Random Forest Algorithm (MATLAB Implementation)
MATLAB software provides a powerful and reliable environment for implementing ensemble decision tree algorithms, specifically random forest models. This implementation offers practical experience with random forest ensembles and demonstrates key decision tree concepts through customizable code parameters like tree depth and feature sampling.
Complete HDR Image Processing Tool Written in MATLAB
A comprehensive MATLAB-based HDR image processing toolkit featuring HDR image synthesis, Tone Mapping Operators (TMO), complete file path organization, and includes working examples with sample images. An excellent educational resource for computational photography.
Source Code and Example Implementations for Four Clustering Algorithms
This project provides source code and examples for four clustering algorithms, aiming to develop a standardized and extensible toolkit for clustering tasks. The implementation includes: 1. Clustering algorithms: K-means, K-medoids, FCMclust, GKclust, and GGclust 2. Cluster visualization: 2D plotting capabilities for displaying clustering results 3. Validation metrics: Comprehensive evaluation mechanisms calculating Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni's Index (XB), Dunn's Index (DI), and Alternative Dunn Index (DII)
Image Stitching Implementation Using SIFT Algorithm
MATLAB-based SIFT implementation for vertical and horizontal image stitching with feature detection and matching capabilities