Robust adaptive beamforming via subspace for interference covariance matrix reconstruction.
Xingyu ZhuXu XuZhongfu YePublished in: Signal Process. (2020)
Keyphrases
- covariance matrix
- covariance matrices
- principal component analysis
- eigendecomposition
- principal components analysis
- sample size
- positive definite
- low dimensional
- mahalanobis distance
- principal components
- gaussian mixture
- pseudo inverse
- objective function
- geometrical interpretation
- dimensionality reduction
- multivariate gaussian
- independent component analysis
- reconstruction error
- transformation matrix
- multipath
- blind source separation
- lower bound
- feature space
- eigenvalues and eigenvectors
- computer vision
- correlation matrix
- mahalanobis metric
- locality preserving projections
- estimation error
- high dimensional data
- feature extraction
- face recognition
- image processing