A new feature for the classification of non-stationary signals based on the direction of signal energy in the time-frequency domain.
Nabeel Ali KhanSadiq AliPublished in: Comput. Biol. Medicine (2018)
Keyphrases
- non stationary
- empirical mode decomposition
- instantaneous frequency
- biomedical signals
- signal analysis
- white noise
- feature vectors
- signal processing
- blind source separation
- wavelet packet
- adaptive algorithms
- hilbert transform
- feature set
- temporal evolution
- feature selection
- classification accuracy
- autoregressive
- bandpass
- feature extraction
- frequency domain
- change point detection
- hidden markov models
- power quality disturbance