MATLAB Implementation of Canonical Correlation Analysis
MATLAB code implementation for canonical correlation analysis with correlation coefficient maximization
Explore MATLAB source code curated for "相关系数" with clean implementations, documentation, and examples.
MATLAB code implementation for canonical correlation analysis with correlation coefficient maximization
This simulation analyzes narrowband flat fading correlated MIMO channel capacity, examining how parameters including antenna spacing, power angular spectrum, multi-cluster configurations, and total angular spread impact channel capacity and correlation coefficients. The implementation involves calculating spatial correlation matrices and applying eigenvalue decomposition to determine capacity bounds.
Signal extraction is a crucial technique in signal processing, where correlation coefficients serve as an effective performance evaluation metric for assessing the similarity between extracted and original signals, with implementation typically involving numerical computation functions.
Code implementation for computing correlation coefficients between datasets in mathematical modeling applications
Quantitative assessment of image fusion outcomes using statistical and information-theoretic metrics including mean, standard deviation, entropy, gradient, correlation coefficient, and spectral distortion
Image Fusion Evaluation Program utilizes multiple metrics including mean, standard deviation, entropy, gradient, correlation coefficient, and spectral distortion to comprehensively assess and compare fused image quality. Implementation involves MATLAB/Python functions for quantitative analysis of fusion performance.
Two programs implementing gray-scale based image registration algorithms featuring correlation coefficient and PFC (Point Feature Correspondences) methods with detailed code implementation
Employing phase correlation for image registration with visual representation of correlation coefficient peaks. This technique offers high registration accuracy with distinct correlation peaks and remains robust against luminance variations.
Image fusion objective evaluation program implementing metrics including distortion degree, correlation coefficient, variance, and other quality assessment indicators with computational methodology descriptions
Compute correlation coefficients between two multi-band images with efficient multi-band reading capabilities using programming approaches