Professional MATLAB source code with comprehensive documentation and examples
MATLAB implementation for integrated navigation system initial alignment, featuring system equations and state equations with H-infinity filtering algorithm and Kalman filter implementations
Multiple blind source separation algorithms based on collective joint diagonalization, including ACDC, SOBI, WEDGE, and UWEDGE, with technical implementations and application contexts.
Motion Object Detection: Detection and Tracking Based on Bounding Boxes of Moving Objects
An efficient Python implementation of the conjugate gradient algorithm for unconstrained optimization problems, ready to use after extraction with comprehensive code documentation
This source code generates random fields over a square spatial domain. The implementation combines Latin Hypercube Sampling for sample generation with spatial correlation modeling through the Cholesky decomposition algorithm, ensuring both uniform po
Collection of MATLAB Implementations and Explanations for Fundamental Algorithms
Particle Filter Training Section. Theoretical foundation based on Michael Isard's doctoral dissertation "Visual Motion Analysis by Probabilistic Propagation of Conditional Density," specifically the "learn a dynamical matrix" component. Includes comp
MATLAB implementations of Recursive Least Squares (LMS) Algorithm and Kalman Filter Algorithm with code descriptions and technical applications
Highly practical MATLAB-coded Partial Least Squares method ready for immediate use in MATLAB environment, featuring comprehensive PLS algorithm explanation and implementation details
Research on high-speed vehicle integrated navigation focuses primarily on Kalman filtering and Extended Kalman filtering algorithms
A MATLAB implementation of Kalman filtering for MPU6050 that filters gyroscope and accelerometer sampling data, eliminating gyroscope integration drift, temperature drift, and accelerometer transient errors to achieve precise attitude control through
GPS solving program that processes raw GPS data to calculate local latitude and longitude coordinates with algorithm implementation details
An implementation program for a classic L1 norm solution in compressed sensing, with wide-ranging applications across various domains including signal processing and optimization. This code demonstrates sparse signal representation through L1 minimiz
This software implements the Kalman filtering algorithm as a MATLAB-based program designed for complex data processing applications.
Classic face recognition algorithm using PCA for dimensionality reduction followed by LDA for feature extraction and classification enhancement
MATLAB source code implementation for digital image scrambling technology using affine transformation algorithms
Implementation of a SLAM algorithm utilizing compressed extended Kalman filtering technique with custom trajectory and landmark configurations, featuring animated visualization of the localization process
A simulation program for multi-target tracking using Joint Probabilistic Data Association Filter (JPDAF), demonstrated with two-target tracking scenario including sensor fusion implementation
MATLAB Programming Simulation of Kalman Filter Algorithm for Track Tracking Filtering Process
K-SVD Algorithm for Sparse Representation - Published in 2006 with MATLAB Implementation Details and Technical Analysis