Compressive Covariance Matrix Estimation from a Dual-Dispersive Coded Aperture Spectral Imager.
Jonathan MonsalveMiguel MarquezIñaki EsnaolaHenry ArguelloPublished in: ICIP (2021)
Keyphrases
- covariance matrix
- estimation error
- covariance matrices
- principal component analysis
- sample size
- gaussian mixture
- laplacian matrix
- mahalanobis distance
- pseudo inverse
- correlation matrix
- eigendecomposition
- geometrical interpretation
- positive definite
- hyperspectral
- infrared
- parameter estimation
- multivariate gaussian
- eigenvalues and eigenvectors
- objective function
- spectral analysis
- maximum likelihood estimation
- image processing