Comparison of covariance estimation using autocovariance LS method and adaptive SRUKF.
Mauro Hernan RivaMatthias DagenTobias OrtmaierPublished in: ACC (2017)
Keyphrases
- high precision
- high accuracy
- estimation accuracy
- significant improvement
- computationally efficient
- computational complexity
- cost function
- dynamic programming
- fully automatic
- synthetic data
- clustering method
- error analysis
- maximum likelihood estimation
- optimization method
- kalman filter
- detection method
- similarity measure
- optimization algorithm
- model selection
- support vector machine
- prior knowledge
- error rate
- classification method
- image registration
- estimation process