Explore MATLAB source code curated for "计算程序" with clean implementations, documentation, and examples.
A MATLAB program for computing entropy and cross-entropy of binary images, designed to serve as an evaluation criterion when combined with other image segmentation methods. The implementation includes probability distribution calculation and entropy measurement algorithms for assessing image complexity.
A custom-developed program for calculating chaotic Kolmogorov entropy, building upon existing methodologies. Successfully applied to compute K-entropy for numerous chaotic time series datasets.
Implementation and computational procedure of Backpropagation Neural Network with code-level insights
Implementation of theoretical detection probability calculation in dynamic programming-based track-before-detect algorithms, featuring mathematical modeling and algorithmic processing
This document presents an array antenna pattern calculation program, featuring radiation pattern computation algorithms and visualization capabilities for antenna design optimization.
A MATLAB program for calculating approximate entropy, designed specifically for EEG signal analysis. This implementation provides a computational framework to quantify signal complexity and extract meaningful patterns from brainwave data. The code serves as a reference implementation and includes parameter configurations for window size and delay time optimization. Users are encouraged to provide feedback for potential improvements.
A computational program for one-dimensional calculation of linear antenna array radiation patterns, incorporating parameterized modeling and radiation distribution analysis.
Chaotic computing program source files—includes implementations of 5 different algorithms for calculating Lyapunov exponents: C-C algorithm, Minimum Data Volume algorithm, G-P algorithm, Correlation Dimension method, and Mutual Information method.
A comprehensive implementation for computing gray-level co-occurrence matrices, featuring modular subroutines suitable for texture analysis applications
A MATLAB program for calculating stochastic resonance similarity, demonstrating how input-output similarity S improves with increasing noise standard deviation until reaching a saturation threshold. The implementation includes noise injection mechanisms and similarity quantification algorithms.