Classification of neural signals from sparse autoregressive features.
Diego VidaurreConcha BielzaPedro LarrañagaPublished in: Neurocomputing (2013)
Keyphrases
- autoregressive
- feature extraction
- eeg signals
- feature set
- feature vectors
- spectrum analysis
- spectral analysis
- autoregressive model
- extracted features
- feature space
- class labels
- moving average
- random fields
- machine learning
- non stationary
- gaussian markov random field
- sparse representation
- image classification
- co occurrence
- artificial neural networks
- information retrieval
- signal processing
- compressive sensing
- denoising
- image features
- natural language