Cramer-Rao lower bound and EM algorithm for envelope-based SNR estimation of nonconstant modulus constellations.
Wilfried GappmairRoberto López-ValcarceCarlos MosqueraPublished in: IEEE Trans. Commun. (2009)
Keyphrases
- em algorithm
- maximum likelihood estimation
- parameter estimation
- expectation maximization
- log likelihood function
- maximum likelihood
- mixture model
- gaussian mixture model
- density estimation
- generative model
- gaussian mixture
- signal to noise ratio
- cramer rao lower bound
- maximum a posteriori
- maximum likelihood estimates
- hidden variables
- log likelihood
- hyperparameters
- incomplete data
- probability density function
- noise reduction
- probability density
- computer vision
- fisher information
- k means