Explore MATLAB source code curated for "协方差" with clean implementations, documentation, and examples.
MATLAB implementation of the Detrended Cross-Correlation Analysis (DCCA) algorithm for analyzing covariance between two datasets, calculating DCCA exponents, and performing statistical validation through T-tests
Perform singular value decomposition on the covariance matrix of arbitrary array output data to obtain eigenvalues and eigenvectors, then construct a spatial spectrum function utilizing the orthogonality between signal subspace and noise subspace with MATLAB implementation
This MATLAB-based image matching algorithm identifies corresponding regions between two consecutive frames by searching for points with maximum covariance in the previous frame, providing robust feature correspondence for computer vision applications.
Common Spatial Pattern (CSP) filtering is a method for processing EEG signals that maximizes the difference in covariance between two classes of motor imagery EEG data, facilitating subsequent classification tasks.
MATLAB program code for Principal Component Analysis (PCA) algorithm: data standardization, covariance matrix computation, eigenvalue and eigenvector calculation, variance contribution rate analysis with enhanced implementation details