Derived PDF of maximum likelihood signal estimator which employs an estimated noise covariance.
Christ D. RichmondPublished in: IEEE Trans. Signal Process. (1996)
Keyphrases
- maximum likelihood
- additive noise
- covariance matrices
- maximum likelihood estimator
- parameter estimates
- mixture model
- random noise
- em algorithm
- log likelihood function
- expectation maximization
- low signal to noise ratio
- cramer rao lower bound
- probability density function
- gaussian mixture model
- signal detection
- maximum a posteriori
- wiener filter
- wide band
- white noise
- low frequency
- stochastic resonance
- likelihood function
- estimation error
- non stationary
- received signal
- low snr
- direct sequence spread spectrum
- noisy images
- noisy data
- signal processing
- impulse response
- statistically independent
- intensity gradient
- noise variance
- gaussian distribution
- original signal
- signal to noise ratio
- pdf files
- missing data
- weak signal
- least squares