MATLAB Source Code for Chaotic Time Series Prediction
Comprehensive MATLAB source code implementation for chaotic time series prediction with practical applications and algorithm explanations
Manifold Learning Algorithm CCA Implementation
MATLAB implementation of the CCA manifold learning algorithm developed by Fei Sha et al., based on MVU algorithm framework with computational efficiency considerations
Implementation of Bilinear Interpolation Algorithm
Implementation and Technical Overview of Bilinear Interpolation Algorithm
FAM Algorithm for Cyclic Spectrum Analysis
Implementation of the FAM Algorithm for Rapid Computation of Cyclic Spectra with Code Optimization Techniques
Principal Component Analysis Scale-Invariant Feature Transform (PCA-SIFT) for Shared Principal Components
PCA-SIFT implementation code for SAR image registration, featuring principal component analysis-based scale-invariant feature transformation with optimized keypoint descriptors and matching algorithms. This resource provides radar enthusiasts and SAR
Quadtree Image Segmentation
This MATLAB program demonstrates quadtree-based region segmentation for image processing. The quadtree method recursively divides an image into four regions, and each region is further subdivided into four sub-regions. The implementation utilizes key
Satellite Position Computation, User Position Calculation (Least Squares Method), Navigation Message Decoding, and Coordinate Transformation
Implementation of satellite position computation, user position calculation using least squares method, navigation message reading, and coordinate transformation through MATLAB programs.
HOG Algorithm Implementation with MATLAB Code
MATLAB-based HOG algorithm implementation featuring core functionality for gradient computation, cell histogram generation, and feature vector creation
Target Motion Trajectory Tracking Using Kalman Filter
Kalman Filter Application. This source code implements target motion trajectory tracking using Kalman filtering, featuring state prediction, measurement updates, and covariance matrix management for optimal estimation.
Infrared Obstacle Avoidance Robot Car
Microcontroller-based Infrared Obstacle Avoidance Robot Car with Sensor Integration
Genetic Algorithm-Partial Least Squares (GA-PLS) for Quantitative Analysis
Genetic Algorithm-Partial Least Squares method for quantitative analysis, combining evolutionary optimization with multivariate statistical modeling for enhanced data processing efficiency.
PCA Facial Recognition Using MATLAB: Implementation and Image Processing Techniques
Implementation of PCA-based facial recognition in MATLAB, including solutions for handling large image file uploads and processing challenges.
Advanced ROI (Region of Interest) Algorithms: Beyond Basic Shape Detection
Modern ROI (Region of Interest) algorithms have evolved beyond traditional circular or rectangular detection methods, incorporating automated region tracking and adaptive segmentation techniques through computer vision libraries like OpenCV and Tenso
Face Recognition using Neural Networks, Linear Auto-Associative Memory, and PCA
A face recognition program developed based on neural networks, Linear Auto-Associative memory, and PCA (Principal Component Analysis) with enhanced algorithm implementation details.
Algorithms for Cutting Circles of Specified Radius within Rectangular Materials Using Three Different Approaches
This modeling assignment presents three distinct algorithms for cutting circles of specified radius within rectangular materials, exploring computational geometry implementations including mathematical formula-based positioning, iterative boundary de
Compressive Sensing Image Reconstruction Algorithm
This is my custom implementation of a compressive sensing image reconstruction algorithm that directly observes the original 2D signal and performs final image restoration with code-level implementation details
Optimization Problem Solver with Boundary Constraints
John D Errico developed and enhanced an optimization solver that efficiently handles variables within specified boundary constraints, implementing robust algorithms for constrained optimization problems.
Radar Data Prediction with Trajectory Simulation and Kalman Filter Implementation
Radar data prediction encompasses trajectory simulation, Kalman filtering algorithms, and motion forecasting techniques for dynamic target tracking systems.
MATLAB Implementation of Monte Carlo Algorithm with Code Descriptions
This MATLAB code implements the Monte Carlo algorithm, originally developed for graduation project purposes. The implementation includes random sampling techniques, statistical analysis methods, and result visualization components. Interested develop
MATLAB Implementation of Classical Maximum Likelihood Synchronization Algorithm
Classical synchronization algorithm, specifically the maximum likelihood synchronization method, proves highly effective for 3G system development with robust signal quality enhancement capabilities