Filtering of discrete-time systems hidden in discrete-time random measures
โ Scribed by L. Aggoun; L. Benkherouf
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 533 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0895-7177
No coin nor oath required. For personal study only.
โฆ Synopsis
This paper is concerned with the filtering problem of a discrete-time signal hidden in discrete-time random measures. Using measure change techniques as discussed in [l], recursive estimates of the signal are obtained. Also, a finite-state signal is discussed and filters of functionals of the signals are derived.
๐ SIMILAR VOLUMES
This paper presents a result on the design of a steady-state robust state estimator for a class of uncertain discrete-time linear systems with normal bounded uncertainty. This result extends the steady state Kalman filter to the case in which the underlying system is uncertain. A procedure is given
An investigation of sampled estimators as an alternative to continuous-time Kalman filters and smoothers reveals the importance of a pre-sampler filter, the optimal sample rate for smoothers, the small number of lags required to approach ideal i~nite-lag smoothing, and the much lower sample rate acc