Estimation of signal parameters in the presence of noise.
David S. SlepianPublished in: Trans. IRE Prof. Group Inf. Theory (1954)
Keyphrases
- random noise
- signal subspace
- parameter estimation
- maximum likelihood estimation
- additive noise
- measured data
- white noise
- low frequency
- noise variance
- maximum likelihood
- high signal to noise ratio
- low snr
- low signal to noise ratio
- estimated parameters
- non stationary
- signal processing
- additive gaussian noise
- signal detection
- sensor array
- wide band
- estimation process
- noisy environments
- single channel
- input data
- noise model
- missing data
- estimation error
- high frequency
- least squares
- expectation maximization
- parametric models
- power spectrum
- maximum likelihood estimator
- signal to noise ratio
- frequency response
- received signal
- estimation algorithm
- closed form solutions
- image noise
- multiresolution