A Maximum Likelihood-Based Minimum Mean Square Error Separation and Estimation of Stationary Gaussian Sources From Noisy Mixtures.
Amir WeissArie YeredorPublished in: IEEE Trans. Signal Process. (2019)
Keyphrases
- maximum likelihood
- minimum mean square error
- joint detection
- blind separation
- parameter estimation
- estimation algorithm
- expectation maximization
- source signals
- mixture model
- blind source separation
- em algorithm
- gaussian distribution
- non stationary
- source separation
- signal to noise ratio
- gaussian mixture
- maximum a posteriori
- maximum likelihood estimator
- independent component analysis
- gaussian mixture model
- denoising algorithm
- recursive algorithm
- minimum mean squared error
- nonlinear functions
- gaussian noise
- noisy data
- denoising
- computational complexity
- higher order