Source Enumeration via RMT Estimator Based on Linear Shrinkage Estimation of Noise Eigenvalues Using Relatively Few Samples.
Huiyue YiPublished in: CoRR (2020)
Keyphrases
- estimation error
- estimation algorithm
- covariance matrix
- statistically independent
- noise sensitivity
- error estimation
- search space
- minimum mean squared error
- figure of merit
- importance sampling
- noise reduction
- noisy data
- data sets
- robust estimator
- angular velocity
- recursive least squares
- linear minimum mean square error
- signal subspace
- gradient estimation
- maximum likelihood
- closed form
- parameter estimation
- sampled data
- soft thresholding
- wavelet shrinkage
- noise model
- signal to noise ratio
- gaussian noise
- decision directed
- image denoising
- missing data
- singular value decomposition
- error minimization
- least squares
- input data
- pseudo inverse
- noise variance
- training samples