Steering vector non-identifiability in covariance matrix fitting based beamforming.
Michael RübsamenMarius PesaventoPublished in: SAM (2012)
Keyphrases
- covariance matrix
- eigenvalues and eigenvectors
- symmetric matrix
- covariance matrices
- transformation matrix
- principal component analysis
- mahalanobis distance
- sample size
- correlation matrix
- feature vectors
- geometrical interpretation
- positive definite
- pseudo inverse
- laplacian matrix
- class conditional densities
- objective function
- vector space
- least squares
- eigendecomposition
- estimation error
- gaussian mixture
- multivariate gaussian
- machine learning
- mahalanobis metric
- blind source separation
- principal components
- parameter estimation
- maximum likelihood
- dimensionality reduction
- search algorithm
- image processing