Explore MATLAB source code curated for "程序" with clean implementations, documentation, and examples.
Comparative analysis of adaptive algorithms for instantaneous mixed blind signal separation, featuring academic papers, custom-developed MATLAB/Python implementations, multiple input waveforms, and corresponding separation results - ideal for mastering blind source separation techniques through practical code examples.
An implementation program for a classic L1 norm solution in compressed sensing, with wide-ranging applications across various domains including signal processing and optimization. This code demonstrates sparse signal representation through L1 minimization using optimization techniques.
Collection of MATLAB Implementations and Explanations for Fundamental Algorithms
This comprehensive image processing program demonstrates techniques for compression, denoising, enhancement and sharpening. Implementation includes: displaying digital image matrix data and its Fourier transform, image compression using 2D discrete cosine transform (DCT), contrast enhancement via grayscale transformation, salt-and-pepper noise removal using medfilt2 2D median filtering, mean filtering with filter2 for noise reduction, adaptive Wiener filtering, five distinct gradient enhancement methods for sharpening, high-pass filtering with mask processing, Butterworth low-pass filter for image smoothing, and Butterworth high-pass filter for sharpening operations.
Support Vector Machine multi-parameter automatic selection optimization program! Machine learning and data mining tool implemented in MATLAB with automated parameter tuning algorithms.
Multiple programs implementing digital watermarking through echo hiding method, featuring algorithm explanations and key function descriptions - contributions and sharing welcome
Implementation of genetic algorithm-optimized wavelet neural network for function approximation with complete program structure and enhanced convergence performance
A comprehensive wavelet image analysis program with excellent results featuring complete processing pipeline and advanced feature extraction techniques
An image enhancement program written in MATLAB, designed to handle overexposed and underexposed images using straightforward methodologies.
A MATLAB-based implementation of CART (Classification and Regression Trees) algorithm for pattern recognition tasks, supporting both classification and regression analysis. The package includes detailed documentation, sample routines, and code explanations covering key functions like tree building, node splitting using Gini impurity, and pruning techniques.