Classification of nonstationary narrowband signals using segmented chirp features and hidden Gauss-Markov models.
Phillip L. AinsleighStephen G. GreinederNasser KehtarnavazPublished in: IEEE Trans. Signal Process. (2005)
Keyphrases
- non stationary
- markov models
- instantaneous frequency
- feature vectors
- feature extraction
- feature set
- sequence classification
- markov model
- eeg signals
- maximum entropy
- feature selection
- machine learning
- signal processing
- empirical mode decomposition
- text classification
- autoregressive
- support vector machine svm
- random fields
- classification algorithm
- fourier transform
- concept drift
- support vector machine
- class labels
- conditional random fields
- speech signal
- statistical model
- special case
- blind source separation
- image segmentation
- frequency modulation
- markov chain