Low-Cost Adaptive Maximum Entropy Covariance Matrix Reconstruction for Robust Beamforming.
Saeed MohammadzadehVítor H. NascimentoRodrigo C. de LamareOsman KukrerPublished in: ACSSC (2020)
Keyphrases
- maximum entropy
- covariance matrix
- covariance matrices
- estimation error
- maximum entropy principle
- principal component analysis
- transformation based learning
- sample size
- mahalanobis distance
- gaussian mixture
- minimum cross entropy
- objective function
- geometrical interpretation
- conditional random fields
- correlation matrix
- principle of maximum entropy
- bregman divergences
- higher order
- upper bound
- pairwise
- feature space