Rapid Implementation of Image Edge Enhancement
A high-performance MATLAB program for efficient image edge enhancement, featuring tested source code with robust edge detection algorithms.
Explore MATLAB source code curated for "程序" with clean implementations, documentation, and examples.
A high-performance MATLAB program for efficient image edge enhancement, featuring tested source code with robust edge detection algorithms.
This MATLAB package provides wavelet analysis implementation for ECG signal processing. The zip file contains MATLAB script files (.m format) and ECG signal data files (.mat format) for comprehensive wavelet-based ECG analysis.
The input image must be grayscale. Usage: [accumulator_values, circle_centers, circle_radii] = CircularHough_Grd(gray_image, [min_diameter max_diameter]); This method can detect multiple circles within the same image, implementing gradient-based Hough transform for robust circle detection.
OFDM transmitter program implementation with comprehensive Simulink simulation models
High-performance discrete PSO program with excellent simulation results and high precision, featuring efficient population-based optimization with customizable parameters
This is a fundamental genetic algorithm program designed for beginners, containing complete implementation steps with detailed code comments. The program demonstrates core genetic operations including population initialization, fitness evaluation, selection, crossover, and mutation. Performance analysis shows runtime of approximately 40 seconds for population size 50 and 1000 generations (CPU: Duron 1G), highlighting computational bottlenecks in large-scale genetic algorithms.
A comprehensive and reliable program implementing Harris-based feature extraction for palmprint images, utilizing corner detection techniques with robust image processing operations.
A comprehensive channel simulation program that implements channel modeling under various parameter configurations, including indoor multipath environment simulation for ultra-wideband systems, featuring configurable path loss models, fading parameters, and delay profiles.
A comprehensive MATLAB implementation for multivariate multiscale entropy analysis, crucial for advanced signal processing research, originally sourced from an academic website with enhanced computational efficiency and parameter optimization
This MATLAB program demonstrates the implementation of subspace identification algorithms for blind spot estimation, providing a practical framework for studying subspace-based system identification techniques with comprehensive computational examples and dataset analysis.