INS/GPS Loose Integration Program with Kalman Filter for Integrated Navigation
Implementation of Kalman Filter for INS/GPS Loose Integration in Navigation Systems
Professional MATLAB source code with comprehensive documentation and examples
Implementation of Kalman Filter for INS/GPS Loose Integration in Navigation Systems
MATLAB implementation of constrained optimization through direct search approach using the Complex Method algorithm
The compressed package contains source code implementations for several common unconstrained optimization methods: Variable Rotation Method (variable_rotation.m), Steepest Descent Method (steepest_descent.m), Modified Newton's Method (modified_newton
An improved mathematical morphology-based small target detection method for infrared imagery, delivering higher detection accuracy than conventional Top-Hat transformation approaches through optimized structuring elements and multi-scale analysis.
Region growing algorithm in image processing leverages selected seed points for progressive region expansion with implementation insights.
PCA, DPCA, KPCA, and KSPCA are highly effective for fault identification, fault diagnosis, and fault classification applications, providing robust solutions for industrial anomaly detection.
This uploaded source code provides a practical programming example demonstrating the implementation of the EM (Expectation-Maximization) algorithm.
Application Background GPS signal acquisition, tracking, and positioning are frequently employed in undergraduate and graduate studies. This program provides a comprehensive implementation of GPS signal acquisition, tracking, and positioning algorith
This program implements matrix optimization in compressed sensing theory using alternating projection methods. The algorithm minimizes coherence between sampling and sparse matrices by iteratively projecting onto structural and incoherence constraint
This MATLAB program implements Direction of Arrival (DOA) estimation using compressive sensing techniques
Pattern Recognition Toolbox Functions featuring multiple recognition methods including KNN, PCA, SVM, C4.5, EM algorithm with code implementation details and technical specifications
Implementation of Biogeography-Based Optimization (BBO) evolutionary algorithm code with multiple test function suites; Usage: Input BBO(@FunctionName), for example BBO(@QuarticDisc) to execute the algorithm with specified objective function.
Investigation of iris image localization algorithm using active contour model with MATLAB implementation and code analysis
Partial Least Squares algorithm employing cross-validation to compute optimal component extraction, featuring implementation of cross-validation methodology and regression coefficient calculation algorithms with code-oriented explanations
A classic application of Kalman filtering involves predicting an object's position coordinates and velocity from a limited sequence of noisy observations. This algorithm finds extensive applications in various engineering fields including radar syste
Implementation and Application of Hough Transform for Line Detection
Various algorithms can be employed to fit system models for deriving first-order approximations, including implementation approaches for least squares, support vector machines, and neural networks.
MATLAB source code implementations for Direction of Arrival (DOA) estimation using linear arrays, featuring CBF (Conventional Beamforming), Capon (Minimum Variance), MUSIC (Multiple Signal Classification), ESPRIT (Estimation of Signal Parameters via
This is a modified MATLAB implementation of a Kalman filter simulation for the fine alignment phase of strapdown inertial navigation systems. The modification addresses filter divergence issues caused by large condition numbers in coefficient matrice
A generalized procedure for partial least squares regression, demonstrated through gasoline component modeling using near-infrared spectroscopy analysis with comprehensive code implementation examples