Robust Adaptive Beamforming Based on Covariance Matrix Reconstruction with Gaussian Random Dimensionality Reduction.
Jieke ZhangZhi ZhengCheng WangPublished in: Circuits Syst. Signal Process. (2024)
Keyphrases
- covariance matrix
- dimensionality reduction
- covariance matrices
- principal component analysis
- gaussian mixture
- multivariate gaussian
- normal distribution
- principal components
- principal components analysis
- sample size
- high dimensional data
- high dimensional
- feature extraction
- low dimensional
- positive definite
- linear discriminant analysis
- feature space
- correlation matrix
- maximum likelihood
- euclidean distance
- geometrical interpretation
- mahalanobis distance
- eigendecomposition
- random projections
- face recognition
- eigenvalues and eigenvectors
- pattern recognition
- machine learning
- random matrix theory
- feature selection
- objective function
- cma es
- class conditional densities