Explore MATLAB source code curated for "样本" with clean implementations, documentation, and examples.
This implementation demonstrates Gaussian kernel-based nonparametric density estimation for probability density estimation of samples, including bandwidth estimation formulas and practical implementation considerations.
An image classification program using BP neural networks, featuring well-documented code suitable for beginners. The implementation uses a manageable dataset size for educational purposes, demonstrating core backpropagation algorithms with clear matrix operations and activation functions.
Extraction of full autocorrelation coefficients for weak signals and their representation as sample feature vectors, including implementation approaches and algorithm explanations.
Implementing Particle Swarm Optimization (PSO) to maximize sample refitting functions through iterative search processes with enhanced algorithm parameter configuration.
Pattern recognition implementation of a classifier designed for samples that follow multivariate normal distribution, featuring statistical parameter estimation and classification algorithms.
A dynamic clustering algorithm implementation leveraging sample similarity metrics and principal axis kernel functions
Estimation Methods for Sample Cross-Correlation Function and Cross-Covariance with Python/MATLAB Implementation Guidelines