Maximum likelihood approach to classification of digitally frequency-modulated signals.
Meisam RakhshanfarPublished in: ISWCS (2010)
Keyphrases
- maximum likelihood
- pattern recognition
- feature extraction
- text classification
- machine learning
- preprocessing
- signal processing
- automatic classification
- classification scheme
- pattern classification
- classification method
- decision rules
- classification accuracy
- supervised learning
- data sets
- support vector machine svm
- classification systems
- class labels
- acoustic signals
- feature selection
- power quality disturbance
- training samples
- gaussian distribution
- benchmark datasets
- feature vectors
- neural network