Maximum-Likelihood Classification of Digital Amplitude-Phase Modulated Signals in Flat Fading Non-Gaussian Channels.
V. Gautham ChavaliClaudio R. C. M. da SilvaPublished in: IEEE Trans. Commun. (2011)
Keyphrases
- maximum likelihood
- training phase
- pattern recognition
- gaussian distribution
- instantaneous frequency
- classification accuracy
- learning phase
- eeg signals
- frequency modulation
- independent component analysis
- cross validation
- preprocessing phase
- multi channel
- classification algorithm
- em algorithm
- feature extraction
- decision trees
- machine learning
- support vector machine svm
- model selection
- signal to noise ratio
- signal processing
- feature space
- support vector
- frequency spectrum
- classification method
- supervised learning
- blind source separation
- training data