✦ LIBER ✦

Optimal ARMA parameter estimation based on the sample covariances for data with missing observations

✍ Scribed by Rosen, Y.; Porat, B.

Book ID: 114539969
Publisher: IEEE
Year: 1989
Tongue: English
Weight: 606 KB
Volume: 35
Category: Article
ISSN: 0018-9448
DOI: 10.1109/18.32128

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Recursive least squares parameter estima

Recursive least squares parameter estimation for non-uniformly sampled systems based on the data filtering

✍ Li Xie; Huizhong Yang; Feng Ding 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 341 KB

By using an estimated noise transfer function to filter the input-output data, two identification models are obtained for the non-uniformly sampled Box-Jenkins system, one containing the parameters of the system model, and the other containing the parameters of the noise model. Then apply the recurs

Optimal spacings for the simultaneous es

Optimal spacings for the simultaneous estimation of the location and scale parameters of a normal distribution based on selected two sample quantiles

✍ Junjiro Ogawa 📂 Article 📅 1977 🏛 Elsevier Science 🌐 English ⚖ 723 KB

Robust Kalman filter and smoother for er

Robust Kalman filter and smoother for errors-in-variables state space models with observation outliers based on the minimum-covariance determinant estimator

✍ Jaafar Almutawa 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 194 KB

A fast parameter estimation for nonlinea

A fast parameter estimation for nonlinear multi-regressions based on the Choquet integral with quantum-behaved particle swarm optimization

✍ You-Min Jau; Chia-Ju Wu; Jin-Tsong Jeng 📂 Article 📅 2010 🏛 Springer Japan 🌐 English ⚖ 249 KB

Low-order multi-rate linear time-invaria

Low-order multi-rate linear time-invariant decentralized trackers using the new observer-based sub-optimal method for unknown sampled-data nonlinear time-delay system with closed-loop decoupling

✍ N. T. Hu; J. S. H. Tsai; S. M. Guo; L. S. Shieh; Y. Chen 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 928 KB