Feature sets for nonstationary signals derived from moments of the singular value decomposition of Cohen-Posch (positive time-frequency) distributions.
Dale GroutageDavid BenninkPublished in: IEEE Trans. Signal Process. (2000)
Keyphrases
- singular value decomposition
- feature set
- non stationary
- instantaneous frequency
- feature selection
- frequency modulation
- empirical mode decomposition
- least squares
- low rank
- signal processing
- feature extraction
- singular values
- feature vectors
- dimensionality reduction
- feature space
- principal component analysis
- classification accuracy
- principal components
- random fields
- autoregressive
- linguistic features
- kernel function
- audio features
- optical flow
- pairwise
- computer vision