Linear quadratic tracking for noisy signal with state space recursive least squares noise rejection.
Rahat AliMohammad Bilal MalikMuhammad SalmanPublished in: ICAT (2013)
Keyphrases
- state space
- recursive least squares
- particle filter
- linear quadratic
- dynamical systems
- kalman filtering
- kalman filter
- optimal control
- signal processing
- neuro fuzzy
- visual tracking
- adaptive filtering
- particle filtering
- object tracking
- reinforcement learning
- complex valued
- dynamic programming
- missing data
- high frequency
- real time
- appearance model
- closed loop
- frequency domain
- gaussian model
- signal to noise ratio
- motion detection
- noise level
- non stationary
- wavelet transform
- vector valued
- gradient method
- search space