Recursive Least Squares Identification Algorithm
A practical recursive least squares identification program for system identification applications, implemented in MATLAB with efficient code structure and parameter estimation capabilities
Explore MATLAB source code curated for "Matlab实现" with clean implementations, documentation, and examples.
A practical recursive least squares identification program for system identification applications, implemented in MATLAB with efficient code structure and parameter estimation capabilities
MATLAB implementation of the sequential dynamic programming algorithm for forward minimum value calculation, including a practical example, reference PDF documentation, and beginner-friendly personal annotations with code explanations
Implementation of multiple linear regression with least squares estimation in MATLAB, including data import, model fitting, result analysis, and prediction techniques.
Implementation of face recognition using Convolutional Neural Networks (CNN) in MATLAB, featuring working code examples and practical applications.
MATLAB implementation of Simultaneous Localization and Mapping (SLAM) using Unscented Kalman Filter (UKF) - a valuable reference for robotics researchers studying autonomous navigation systems.
MATLAB implementations of various mainstream face tracking algorithms including Kalman filter, particle filter, and support vector machine approaches
MATLAB implementation of the nearest neighbor algorithm for pattern recognition, featuring clear code examples and practical explanations
MATLAB implementation of Quantum Particle Swarm Optimization algorithm with comprehensive program documentation and code descriptions
MATLAB implementation of a RAKE receiver featuring correlation-based channel estimation algorithms for signal reception
MATLAB source code implementation of the MUSIC algorithm for multi-beam systems, demonstrating its high-resolution capability through clear visual output after execution. This program provides practical insights into signal direction estimation techniques using eigenvalue decomposition and spatial spectrum analysis.