Detection of signals corrupted by nonstationary random noise via Kalman filter-based stationarization approach.
Hiroshi IjimaAkira OhsumiPublished in: EUSIPCO (2008)
Keyphrases
- non stationary
- random noise
- low signal to noise ratio
- white noise
- biomedical signals
- empirical mode decomposition
- signal detection
- fourier analysis
- blind source separation
- adaptive algorithms
- random fields
- instantaneous frequency
- signal processing
- autoregressive
- fractional brownian motion
- change detection
- speech signal
- concept drift
- kalman filter