MATLAB Implementation of Particle Swarm Optimization Algorithm
A highly effective Particle Swarm Optimization algorithm implemented in MATLAB with comprehensive code structure and parameter configuration.
Explore MATLAB source code curated for "matlab代码" with clean implementations, documentation, and examples.
A highly effective Particle Swarm Optimization algorithm implemented in MATLAB with comprehensive code structure and parameter configuration.
MATLAB implementation of DFE channel equalization algorithm with learning curve visualization. This program demonstrates adaptive equalization techniques and performance analysis through plotted convergence curves.
A MATLAB function demonstrating the algorithm for converting between RGB and HSI color spaces, including detailed explanations of intensity, saturation, and hue calculations.
This MATLAB program implements speech filtering functionality, capable of computing and displaying amplitude-frequency characteristics of speech signals, magnitude and phase responses of Butterworth low-pass filters, frequency domain characteristics after noise introduction, and DFT amplitude-frequency characteristics after filtering. The implementation includes audio files for testing and demonstrates key signal processing operations including FFT analysis, filter design using butter() function, and frequency domain visualization techniques.
MATLAB implementation of image morphing with detailed code explanation covering interpolation, transformation, and blending techniques
Error-free MATLAB-based 3D image segmentation implementation using advanced segmentation algorithms
MATLAB source code for JPEG compression featuring uniform quantization and Huffman encoding - a clear and comprehensive implementation for digital image processing
Implementation of FCM-based image segmentation in MATLAB requires calling main(image, C) function where 'image' must be a pre-loaded JPG file and 'C' specifies the number of clusters for classification using Fuzzy C-Means algorithm.
MATLAB-based image fusion program featuring ready-to-execute code with algorithm optimizations
MATLAB-based face detection and localization system implemented through M-files with high accuracy, employing computer vision algorithms for robust facial feature identification.