Machine Learning-Based Pre-Equalizers for Maximum Likelihood Sequence Estimation in High-Speed PONs.
Wouter LanneerYannick LefevrePublished in: EUSIPCO (2023)
Keyphrases
- maximum likelihood
- high speed
- machine learning
- maximum likelihood estimation
- parameter estimation
- estimation algorithm
- log likelihood function
- em algorithm
- likelihood function
- maximum likelihood estimates
- maximum a posteriori
- real time
- maximum likelihood estimator
- pattern recognition
- machine learning methods
- knowledge acquisition
- accurate estimation
- active learning
- estimation accuracy
- computational intelligence
- least squares
- decision trees
- machine learning algorithms
- data analysis
- machine learning approaches
- expectation maximization
- learning systems
- feature selection
- artificial intelligence
- data mining
- gaussian mixture model
- low power
- text classification
- semi supervised
- information extraction
- knowledge discovery
- reinforcement learning
- computer vision
- high speed networks
- protein secondary structure prediction