Detection and classification of nonstationary transient signals using sparse approximations and Bayesian networks.
Neil WachowskiMahmood R. Azimi-SadjadiPublished in: IEEE ACM Trans. Audio Speech Lang. Process. (2014)
Keyphrases
- non stationary
- bayesian networks
- biomedical signals
- empirical mode decomposition
- sparse approximations
- pattern recognition
- eeg signals
- decision trees
- image classification
- adaptive algorithms
- classification algorithm
- random fields
- training set
- concept drift
- feature selection
- instantaneous frequency
- feature extraction
- feature space
- blind source separation
- autoregressive
- cross validation
- support vector machine svm
- signal processing
- graphical models
- sparse representation
- nearest neighbor