ARMA spectral estimation for noisy signals observed through a linear system
β Scribed by Tugnait, J.
- Book ID
- 117906164
- Publisher
- IEEE
- Year
- 1985
- Weight
- 429 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0096-3518
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A method is presented for estimating an unknown parameter of a distributed parameter system which depends on the system state. The system considered is modelled by a class of non-linear partial differential equations of a parabolic type. Noisy observations are assumed to be taken through an arbitrar
This paper considers the optimal timing of observations for the state estimation in a one-dimensional linear continuous stochastic system which is corrupted by white Gaussian noise. The criterion adopted ia a min-max one. The optimal observation times are analytically shown to be located periodicall
## Abstract This paper develops an adaptive estimation method to estimate unknown disturbances in a class of nonβminimum phase nonβlinear MIMO systems. The unknown disturbances are generated by an unknown linear exosystem. The frequencies, phases and amplitudes of the disturbances are unknown, the