MATLAB Example of Kalman Filter Prediction Algorithm
This MATLAB example demonstrates the Kalman filter prediction algorithm, providing practical implementation details and helpful insights for algorithm application.
Professional MATLAB source code with comprehensive documentation and examples
This MATLAB example demonstrates the Kalman filter prediction algorithm, providing practical implementation details and helpful insights for algorithm application.
This program investigates the timing error characteristics of both basic Gardner algorithm and a modified Gardner algorithm under various symbol sequence conditions, with MATLAB implementation details and performance analysis.
PCA face recognition programs and essential materials. The programs are functional and have been personally tested by me, providing reliable code implementations for face recognition systems.
Detailed algorithm explanations and MATLAB implementation examples for 15 mathematical modeling techniques including Grey Prediction, Grey Relational Analysis, Principal Component Analysis, Fuzzy Clustering Analysis, Stochastic Simulation, Multiple R
A comprehensive inertial navigation toolbox for MATLAB featuring installation instructions and user manual, providing simulation, analysis, and verification tools for inertial navigation systems with practical functions for attitude calculation, erro
This MATLAB-based implementation demonstrates multi-objective optimization using evolutionary algorithms, featuring complete source code and detailed explanations for algorithm workflow and key functions
Function Specification // Function Name: PolyFit // Function Purpose: Implements least squares algorithm for polynomial curve fitting with coefficient calculation
Source code for comparing various compressed sensing reconstruction algorithms including OMP, CoSaMP, and SP. The implementation covers more comprehensive algorithms than standard packages, providing practical demonstrations of signal recovery techni
Implementation of AR parameter estimation for ARMA models using Singular Value Decomposition-Total Least Squares method, with harmonic recovery simulation based on estimated parameters
Face Recognition System: Implementing Principal Component Analysis (PCA) to distinguish between human faces and non-face objects. Primarily developed for a stochastic processes course project, featuring dimensionality reduction and pattern classifica
MATLAB shortest path algorithm implementation, featuring efficient graph traversal methods with practical code examples ready for testing and adaptation.
A MATLAB implementation of GPS satellite simulator with detailed design documentation. While this version includes several simplifications and imperfections, it serves as a foundation for further development and innovation in satellite navigation sim
Kalman filter tracking program successfully implementing least squares tracking and interacting multiple model (IMM) algorithms
MATLAB implementation of fuzzy K-means clustering algorithm with detailed code structure and function explanations, ideal for research and educational purposes
This project implements the image matting algorithm presented at CVPR 2006, featuring segmentation-based foreground extraction with performance optimization techniques.
Source code implementation for ESPRIT-based DOA estimation with mathematical modeling and practical application examples
Classical polygon filling algorithms primarily include the scanline filling algorithm and boundary-flag filling algorithm, with the scanline method being particularly suitable for vector polygon files due to its computational efficiency and superior
PCA Face Recognition and Theoretical Framework (Updated version of Appendix_C_PCA_.rar with included MATLAB source code demonstrating practical implementation)
A MATLAB-based source code implementation for Direction of Arrival (DOA) estimation of incoherent signals from a master's thesis, featuring array signal processing algorithms and spectral estimation techniques.
Implementation of Gaussian Mixture Model for background generation in video object detection, featuring adaptive background modeling and foreground segmentation algorithms.