Explore MATLAB source code curated for "调试" with clean implementations, documentation, and examples.
This MATLAB code implements an adaptive genetic algorithm, thoroughly debugged and verified through multiple experimental runs. The implementation provides a practical solution for various complex optimization problems.
This is a saliency detection method for image processing applications, featuring an improved and simplified version of the ITTI display algorithm. The algorithm's clear structure makes it easy to understand and debug. It includes detailed documentation with step-by-step instructions for immediate execution. This implementation serves as an excellent introductory algorithm for students beginning their studies in saliency detection, providing straightforward code organization and practical examples for quick deployment.
This project demonstrates MATLAB-based ECG data processing with successful import of .dat and .hea files to generate electrocardiograms. The package includes sample ECG data (.dat and .hea files) for testing, and a program file fine.m (with Chinese comments) located at default path C:Documents and SettingsAdministratorMy Documentsmatlab. Execution method: >>fine('62y933e.hea','62y933e.dat',9) where the last parameter (1-12) specifies the lead channel number for signal processing and visualization.
Viterbi convolutional encoding and decoding implementation, fully debugged and ready for direct integration
This personally improved and debugged inter-frame difference method serves as a valuable resource for developers studying vehicle detection algorithms, with optimized code implementation and parameter tuning.
The LMS algorithm implementation has been thoroughly debugged and tested using corresponding speech segment and noise segment files. This implementation includes adaptive filter configuration and performance validation through MSE analysis.
Wavelet edge detection program code - debugged and ready to run, featuring multi-scale edge analysis with wavelet transform coefficients
This is the source code for wavelet-based edge extraction, which has been meticulously debugged and optimized for reliable performance.
Implementation of Butterworth filter algorithm using MATLAB programming language, fully debugged and verified for proper execution with code-based enhancements.
This genetic algorithm-based class scheduling code has been debugged for optimal performance. To build a complete system, you'll need to develop project files independently - this implementation focuses specifically on the core scheduling algorithm with configurable parameters for crossover, mutation, and fitness evaluation.