Explore MATLAB source code curated for "线性" with clean implementations, documentation, and examples.
A comprehensive demonstration program showcasing Support Vector Machine applications in classification problems, featuring both linear and non-linear implementations with practical code examples.
Implementation of Kalman Filter for target tracking with linear motion state modeling, including code structure and algorithm details
MATLAB implementation of Support Vector Machines featuring both linear and nonlinear algorithms, complete with comprehensive documentation files explaining usage and underlying methodologies.
MATLAB Implementation of Linear PCM, A-Law PCM, and μ-Law PCM Encoding Algorithms
Simulation code for passive localization, including 2D linear, nonlinear, maximum likelihood TOA algorithms with Cramer-Rao lower bound and mean square error implementations
This collection focuses entirely on algorithms for blind source separation of linear and convolutional mixed signals. These implementations are complex and require careful study - we advise downloading only if you're prepared for intensive technical reading. All materials are freely available.
Essential kernel functions for SVM implementation, including four commonly used types: polynomial, linear, Gaussian (RBF), and sigmoid, with code implementation considerations
A comprehensive course design on PLL systems covering both linear and nonlinear aspects, with practical code implementation examples