Explore MATLAB source code curated for "调试" with clean implementations, documentation, and examples.
Successfully implemented nonlinear least squares fitting with intensive debugging and significant code optimization. This implementation utilizes advanced algorithms and demonstrates improved computational efficiency.
Subroutine design for digital interpolating upconversion and lowpass filtering with comprehensive system debugging process
Medical image enhancement algorithm utilizing multi-scale retinex methodology with effective optimization for low-contrast medical imagery through parameter tuning and scale configuration adjustments.
Design and implementation of the PSOLA algorithm, which has been debugged and is now operational, including detailed code structure and performance optimization techniques.
BP Neural Network Image Classification System - Fully functional implementation that requires minimal debugging adjustments for different image datasets to achieve optimal performance.
This implementation includes both maximum likelihood estimation gradient algorithm and Fast ICA algorithm, which have been successfully debugged. Special attention should be paid to whether the input signal x is provided as a row vector or column vector during implementation and debugging.
This MATLAB implementation of multi-objective particle swarm optimization provides a thoroughly tested framework with detailed documentation for immediate application in solving complex optimization problems with multiple objectives.
This refined sparse decomposition algorithm improved via genetic algorithm has been thoroughly debugged and was developed during the composition of our research paper. The implementation includes optimized genetic operators for feature selection and code-level adjustments for sparse representation optimization.
Self-developed ISODATA clustering program successfully debugged and validated in MATLAB environment, featuring dynamic cluster merging and splitting capabilities.
Multiple YUV image processing methods including yuv2rgb, rgb2yuv conversions with detailed implementation considerations requiring careful debugging