A new autocovariance least-squares method for estimating noise covariances.
Brian J. OdelsonMurali R. RajamaniJames B. RawlingsPublished in: Autom. (2006)
Keyphrases
- least squares
- high accuracy
- computational complexity
- dynamic programming
- frequency domain
- detection method
- experimental evaluation
- cost function
- pairwise
- preprocessing
- support vector machine
- significant improvement
- feature set
- hybrid method
- missing data
- parameter estimation
- robust estimation
- noisy data
- estimation process
- support vector machine svm
- computationally efficient
- model selection
- input data
- optical flow