A novel method for nonstationary power spectral density estimation of cardiovascular pressure signals based on a Kalman filter with variable number of measurements.
Z. G. ZhangKai Man TsuiShing-Chow ChanW. Y. LauMateo AboyPublished in: Medical Biol. Eng. Comput. (2008)
Keyphrases
- kalman filter
- density estimation
- non stationary
- computational complexity
- kalman filtering
- dynamic programming
- object tracking
- density function
- prior knowledge
- support vector machine svm
- bayesian framework
- gaussian mixture model
- learning algorithm
- mixture model
- em algorithm
- support vector machine
- training set
- face recognition