An Unsupervised LLR Estimation with unknown Noise Distribution.
Yasser MestrahAnne SavardAlban GoupilGuillaume GelleLaurent ClavierPublished in: EURASIP J. Wirel. Commun. Netw. (2020)
Keyphrases
- unsupervised learning
- estimation error
- noise model
- signal subspace
- maximum likelihood estimator
- noise level
- machine learning
- supervised learning
- noisy data
- random noise
- signal to noise ratio
- estimation accuracy
- accurate estimation
- image noise
- power law
- beta distribution
- additive noise
- gaussian noise
- gaussian distribution
- density estimation
- probability density function
- data distribution
- data driven
- probability distribution