Robust adaptive beamforming with imprecise steering vector and noise covariance matrix due to finite sample size.
Mengyi ZhangFrancisco RubioDaniel P. PalomarXavier MestrePublished in: ICASSP (2013)
Keyphrases
- covariance matrix
- finite sample
- sample size
- covariance matrices
- correlation matrix
- model selection
- uniform convergence
- principal component analysis
- gaussian mixture
- nearest neighbor
- upper bound
- error bounds
- vc dimension
- generalization error
- computational complexity
- sufficient conditions
- vector space
- worst case
- statistical learning theory