Explore MATLAB source code curated for "统计特征" with clean implementations, documentation, and examples.
Implementation of image matching and recognition through statistical features extracted from wavelet-transformed images, involving frequency domain analysis and feature comparison algorithms.
Perform correlation detection on given noisy pulse signals, with detection results represented as 1s and 0s. The implementation involves reading data from text files and analyzing statistical characteristics of signals before and after filtering, including mean, variance, autocorrelation, and power spectrum. Design reference signals for correlation processing and detection. Plot both original data curves and correlation result curves to visualize signal transformations.
MATLAB simulation of complex networks including AB and BA models, WS and NW small-world models, with statistical feature analysis and comparative evaluation
MATLAB implementation for calculating image variance and other statistical texture features including skewness, kurtosis, energy, and entropy
MATLAB Code Implementation for Texture Analysis with GLCM-based Feature Extraction