Power System State Estimation Functionality
Implementation of power system state estimation using MATLAB, with practical utility and code-related insights.
Point Cloud Registration with MATLAB
MATLAB point cloud registration algorithm implementation with ready-to-use examples and transformation matrix output for same-scene point cloud alignment. Includes practical demonstrations and verified functionality.
MATLAB Program for Reading Data from *.txt Files
MATLAB program for reading data from *.txt files, which may contain hexadecimal data collected from tools like serial port debugging assistants, with implementation details for data processing and conversion.
Comprehensive MATLAB Toolbox Examples for Linear, Multiple Linear, and Nonlinear Regression
This MATLAB toolbox provides excellent practical examples for performing linear regression, multiple linear regression, and nonlinear regression analysis. The package includes detailed tutorial presentations and ready-to-use MATLAB code implementations, featuring regression algorithms, model fitting techniques, and statistical validation methods. These resources are highly practical for understanding regression modeling concepts and applications.
Monte Carlo Method MATLAB Source Code and Routine Examples
Comprehensive collection of Monte Carlo method implementations in MATLAB, featuring algorithm explanations and practical code examples for numerical computation.
Bayesian Estimation Program
Implemented in MATLAB, this Bayesian estimation program features clear, accessible code structure for statistical analysis.
MATLAB Diesel Generator Set Unit Simulation Model
MATLAB-based diesel generator set unit simulation model for microgrid systems research, featuring distributed power module implementation with 50Hz grid synchronization capability.
MATLAB Implementation of Grey Relational Analysis
Implementation of grey relational analysis using MATLAB, featuring algorithms for multi-dimensional data correlation assessment with practical code examples for economic, environmental, and medical applications.
RBF Model Code Implementation
Application Background: Surrogate models (Kriging, RBF, etc.) - These toolboxes serve as universal MATLAB libraries for multidimensional function approximation and optimization methods. Key Technologies: MATLAB implementation featuring Radial Basis Functions, Kriging methods, Support Vector Machines, Support Vector Regression, Gaussian Process Metamodels, and Polynomial approximations with corresponding code algorithms.
MATLAB Code for Fractal Dimension Calculation in Time Series Analysis
MATLAB implementation for calculating fractal dimension specifically designed for time series data, featuring fractal analysis algorithms and dimension computation methods.