Linear Regression Using Gradient Descent Algorithm
Implementation of linear regression using gradient descent method in MATLAB - a practical machine learning routine with code examples and algorithm explanation.
Routine for Solving Nash Bargaining Equilibrium Problems
A computational routine for solving Nash bargaining equilibrium problems utilizing a genetic representation approach, available for download with implementation details including chromosome encoding, crossover and mutation operations, and fitness evaluation functions.
MATLAB Implementation of Real-Coded Genetic Algorithm with Elite Preservation
This MATLAB routine implements a real-coded genetic algorithm featuring elite preservation strategy selection combined with roulette wheel selection, and employs intermediate recombination for crossover operations to enhance optimization performance.
Introduction to Random Signals and Applied Kalman Filtering: 4th Edition with Supporting Code Examples
Classic textbook "Introduction to Random Signals and Applied Kalman Filtering, 4th Edition" (2012 latest version) featuring comprehensive companion code implementations for practical learning
A Preliminary Learning Routine for S-Transform
The instructor provided a correct example routine suitable for beginners learning S-Transform, which includes implementation approaches and validation methods.
MATLAB Implementation of MeanShift Algorithm with Code Enhancements
A modified MeanShift program written in MATLAB, based on University of Southern California's original routine, featuring implementation details and practical applications for image segmentation and object tracking
MATLAB Implementation of Maximum Likelihood Estimation for ARMA Models
MATLAB code example demonstrating maximum likelihood estimation for ARMA (Autoregressive-Moving Average) time series models with practical implementation details
MATLAB Routine for Fundamental Matrix Computation
A MATLAB implementation for fundamental matrix calculation with comprehensive code documentation, suitable for academic research and learning purposes
MATLAB M-Files for Partial Differential Equations: Comprehensive Solution Examples
Detailed MATLAB m-file routines for solving various types of partial differential equations, featuring implementation examples with PDE Toolbox functions, finite difference methods, and spectral decomposition algorithms
Co-Simulation Tutorial with ModelSim
This MATLAB and ModelSim co-simulation routine requires setting up the ModelSim environment first. After configuration, execute the manchester_tb script from the source code directory to initiate the complete co-simulation process, including automated data exchange between both tools.