A new Kalman filter-based power spectral density estimation for nonstationary pressure signals.
Z. G. ZhangW. Y. LauS. C. ChanPublished in: ISCAS (2006)
Keyphrases
- non stationary
- density estimation
- power spectral
- empirical mode decomposition
- blind source separation
- power spectrum
- mixture model
- density function
- frequency domain
- probability density function
- outlier detection
- gaussian mixture model
- em algorithm
- density estimates
- parzen window
- instantaneous frequency
- random fields
- reproducing kernel hilbert space
- computer vision
- density estimators
- bayesian networks
- natural images
- frequency modulation
- similarity measure