UAV Altitude Estimation Using MATLAB Kalman Filter Program
UAV altitude measurement based on MATLAB Kalman filter program with data fusion implementation
Mutual Information Implementation for Image Registration
Mutual information algorithm enables robust image alignment functionality crucial for data fusion and computer vision applications.
New Data Fusion Algorithm Based on Fuzzy Closeness Degree
MATLAB source code implementation for a novel data fusion algorithm utilizing fuzzy closeness degree with detailed implementation approach
Integration of Genetic Algorithm and Neural Network for Data Fusion
Combining Genetic Algorithm and Neural Networks for Data Fusion, with Comprehensive Documentation, Reference Materials, and MATLAB Implementation Examples
Multi-Radar Multi-Target Data Fusion Algorithm for Mathematical Modeling Competitions
This code implements a multi-radar multi-target data fusion solution for mathematical modeling competitions, featuring key algorithmic components such as Kalman filtering implementations, correlation algorithms, and track-to-track fusion methods.
Applications of Centralized and Federated Kalman Filtering in Integrated Navigation Systems
Implementation of data fusion and filtering techniques using centralized and federated Kalman filters in integrated navigation systems, with code-level algorithmic explanations
Data Fusion Using D-S Evidence Theory with Algorithm Implementation
Implementing D-S evidence theory for data fusion in wireless sensor network target localization and decision-level fusion, featuring probability mass functions and combination rules