Covariance Matrix Estimation in Massive MIMO.
David NeumannMichael JohamWolfgang UtschickPublished in: CoRR (2017)
Keyphrases
- covariance matrix
- estimation error
- covariance matrices
- principal component analysis
- sample size
- geometrical interpretation
- correlation matrix
- mahalanobis distance
- pseudo inverse
- eigendecomposition
- positive definite
- gaussian mixture
- multivariate gaussian
- eigenvalues and eigenvectors
- objective function
- class conditional densities
- symmetric matrix
- estimation algorithm
- density estimation
- principal components
- probabilistic model