MATLAB Program for Phase Space Reconstruction of Chaotic Sequences
MATLAB implementation for singular value-based phase space reconstruction with parameter customization capabilities
Sensorless Vector Control of Induction Motors
MATLAB Implementation of Sensorless Vector Control for Induction Motors. Includes detailed documentation with code explanations, algorithm descriptions, and functional breakdowns. Suitable for academic exchange and research purposes.
MATLAB Program for Multivariate GARCH Model Forecasting
MATLAB implementation for multivariate GARCH model prediction with configurable parameters and comprehensive analytical methods
MATLAB Program for Analyzing Spiral Bevel Gear Meshing Trajectory
A MATLAB program for analyzing the meshing trajectory of spiral bevel gears, featuring comprehensive gear contact analysis with parameter calculations. Please share with the engineering community.
MATLAB Implementation of Gaussian Kernel Function - A Commonly Used Kernel in Machine Learning
MATLAB implementation and technical explanation of Gaussian kernel function, a fundamental tool in machine learning and data mining for non-linear data transformation
MATLAB Program for Calculating Maximum Lyapunov Exponent Using Wolf's Method
This MATLAB program computes the maximum Lyapunov exponent of time series using Wolf's method. It is a complete implementation optimized for fast execution, ready to run directly without modifications. The algorithm employs chaos analysis based on Lyapunov exponents to study chaotic characteristics of time series through feature extraction.
CLAHE Algorithm Implementation in MATLAB
A CLAHE MATLAB implementation downloaded from the web with optimized code structure and enhanced functionality for smooth execution and improved image processing capabilities.
MATLAB Program for Reliability Assessment of Power Systems with Wind Farms
MATLAB-based Reliability Evaluation Program for Wind Farm Integrated Power Systems
MATLAB Programs for Various Discrete Optimization Methods
Application Background Optimization techniques are ubiquitous in our society, with applications ranging from scheduling aircraft and crew members to coordinating steel production and managing iron ore transportation from mines to ports. These techniques facilitate the clearing of day-ahead and real-time electricity markets, enabling power supply to millions. Additionally, optimization supports kidney transplant coordination, cancer treatment planning, and aids scientists in understanding fundamental life structures, controlling complex chemical reactions, and designing drugs with potential benefits for billions. This course introduces discrete optimization and presents fundamental concepts and algorithms in the field. It covers constraint programming, local search, and mixed-integer programming, progressing from basics to their application in solving complex real-world problems like scheduling, vehicle routing, supply chain optimization, and resource allocation. The curriculum includes extensive MATLAB implementations of core algorithms with detailed code explanations.
Digital Predistortion Function Simulation
This is a MATLAB program for digital predistortion function simulation with effective performance, featuring algorithm implementation and verification through signal processing techniques.