Edge Detection using Canny Operator with MATLAB Implementation
Canny operator-based edge detection implemented in MATLAB with detailed code explanations, algorithm analysis, and comparison with alternative edge detection methods.
Explore MATLAB source code curated for "matlab编写" with clean implementations, documentation, and examples.
Canny operator-based edge detection implemented in MATLAB with detailed code explanations, algorithm analysis, and comparison with alternative edge detection methods.
Implementation of ordinary and partial differential equation solvers using fourth-order Runge-Kutta method with MATLAB GUI interface. Key features include: GUI development, ODE/PDE solvers, difference methods, numerical integration algorithms (Runge-Kutta, Euler, Heun). MATLAB version: 7.0 (R14) with code examples demonstrating algorithm implementation and numerical method comparisons.
A Space Vector SVPWM simulation implemented using MATLAB with excellent performance, demonstrating comprehensive waveform generation and parameter analysis capabilities
A MATLAB-based adaptive median filtering implementation with excellent performance, ideal for beginners. Includes test images that can be replaced with custom images. Simply run main.m to execute the program. Features a straightforward algorithm with fast computational speed.
High-performance image matching source code developed using grayscale analysis and MATLAB, featuring robust algorithm implementation and excellent runtime performance
This program implements adaptive filtering algorithms using MATLAB, featuring dynamic parameter adjustment for optimized signal processing performance.
A MATLAB-implemented speech recognition system utilizing Discrete Hidden Markov Models (DHMM) with feature extraction and pattern matching capabilities
A MATLAB-based program for analyzing fixed-base robot dynamics, designed to operate within the Simulink environment. The implementation utilizes MATLAB's robotic system toolbox functions for dynamic modeling and simulation.
Markov Random Field example program featuring ICM and BP algorithms implementations, written in MATLAB with over 30 functions including energy minimization, message passing, and graph structure operations.
MATLAB-based face recognition program utilizing Hidden Markov Models (HMM), implementing DCT coefficients as facial recognition features with optimized feature extraction algorithms