MATLAB Code Implementation for GPS Data Reading and Processing
This implementation demonstrates GPS data reading, calculation of various corrections (including ionospheric and tropospheric), and data visualization through plotting functions
Professional MATLAB source code with comprehensive documentation and examples
This implementation demonstrates GPS data reading, calculation of various corrections (including ionospheric and tropospheric), and data visualization through plotting functions
The Capon method in Direction of Arrival (DOA) estimation, essential for academic papers and technical implementations, with algorithm explanations and code-related insights.
This program implements an innovative particle filter-based algorithm that integrates MCMC Bayesian Model Selection and Markov Chain Monte Carlo methodologies for target tracking applications. It effectively handles single-target tracking, multi-targ
Application Context: This algorithm is derived from fixed-point recursive methodology and is applicable to any data type. Its development enables ICA analysis of high-dimensional data. Also known as the Fixed-Point algorithm, it was proposed by Hyvär
MATLAB program for calculating GPS satellite positions over 24-hour periods, featuring orbital mechanics algorithms and practical implementation details developed through extensive research and coding effort.
This program demonstrates maneuvering target tracking implementation using a Kalman filter with a current statistical model. The code includes complete simulation setup, state prediction, and measurement update cycles. Feel free to use it for learnin
Integration of Fuzzy Support Vector Machine and Principal Component Analysis for Enhanced Face Recognition Systems
This MATLAB-based source code implements the single-user water injection algorithm, featuring parameter processing, optimization calculations, and result visualization for oil production enhancement.
This repository contains several self-developed MATLAB programs for numerical computations, implementing Lagrange Polynomial Interpolation, Gaussian Elimination for solving linear systems, Least Squares method for curve fitting, and Composite Trapezo
Smoothness optimization techniques applied to the original sequence of Grey Model GM(1,1) for improved forecasting accuracy
This program utilizes Kalman Filter for track estimation and implements data association through the Nearest Neighbor Algorithm, providing a comprehensive solution for target tracking applications.
MATLAB Algorithm Collection - Nonlinear Equation System Solving
Correction of range walk using the Keystone algorithm for high-speed moving targets, this program provides implementation of the Keystone algorithm with code-level explanations
Simulation program for multi-target tracking featuring multi-sensor data fusion, developed using MATLAB with Kalman filtering and probabilistic data association methods.
SIFT object tracking with robust feature point matching delivers high detection performance and superior matching accuracy across varied conditions
This code implements a dynamic programming algorithm that finds an optimal path and identifies corresponding nodes. The implementation demonstrates key DP concepts including memoization, state transitions, and optimal substructure properties.
MATLAB source code for PCA principal component analysis algorithm, implementing PCA using MATLAB. Includes related PCA materials, data preprocessing techniques, and result interpretation methods.
The multidimensional partial least squares method for multidimensional data fitting effectively establishes models for various collinear datasets, providing robust regression analysis through dimensionality reduction techniques.
A ready-to-run MATLAB program for k-means clustering algorithm with evaluation metrics and visualization tools.
A MATLAB implementation of a basic Kalman filter, designed for beginners to learn state estimation and signal processing techniques with practical code examples and algorithm explanations.