Phase-Shifted Full-Bridge Simulation Research on Constant Voltage (Closed-Loop) Control Mode
Using MATLAB software for phase-shifted full-bridge simulation to study constant voltage (closed-loop) control mode implementation
MATLAB-Based Phase-Shifted Full-Bridge Simulation Research with Constant Current Control
MATLAB-Based Phase-Shifted Full-Bridge Simulation Study with Constant Current Algorithm Implementation
Simulation Study of Phase-Shifted Full-Bridge Using MATLAB Software
Phase-Shifted Full-Bridge Simulation Study Using MATLAB Software (Constant Power Mode)
MATLAB Software and FDTD Algorithm for 3D Coaxial Resonator Cavity Electromagnetic Field Simulation
Source code implementation using MATLAB software and FDTD algorithm to solve electromagnetic fields in 3D coaxial resonator cavities
Lena Image Corrupted with Gaussian Noise
Generation of a Gaussian noise-corrupted Lena image using MATLAB software, followed by processing with T3, T5, Gaussian filtering, and median filtering techniques
Cyclostationary Analysis and Processing of Various Signals
A MATLAB-based program implementation for cyclostationary analysis and processing of diverse signals, featuring algorithm demonstrations and key function descriptions.
Five Data Mining Source Codes for Programming Design
Implementation of five data mining source codes using MATLAB software, featuring various algorithms including classification, clustering, and pattern recognition with detailed function descriptions.
Image Segmentation Using Distance Transform and Watershed Algorithm
Implementing image segmentation in MATLAB using distance transform and watershed algorithm with code-level technical enhancements
Surface Rendering 3D Reconstruction of Human Brain MRI Images using Marching Cubes Algorithm
MATLAB-based implementation of Marching Cubes algorithm for surface rendering 3D reconstruction of human brain MRI images, incorporating 3D rotation transformations and animation functions for dynamic brain visualization with enhanced rendering techniques.
Data Processing and Error Analysis Using MATLAB
This project implements data processing and error analysis capabilities using MATLAB software. While MATLAB's interface may not be as intuitive as VB, it offers extensive built-in functions that facilitate efficient implementation. The implemented features include: (1) Arithmetic mean calculation; (2) Residual error (absolute error) computation; (3) Standard deviation calculation; (4) Gross error detection and elimination with recalculation; (5) Identification of linear or periodic errors in datasets. The implementation leverages MATLAB's statistical toolbox functions for robust error analysis.