Kalman filter addresses an estimation problem defined by two models: the signal model and the observation model. In this thesis, the signal model is obtained from a ratio of the defected and clean pictures in frequency domain. The observation model is built for an additive measurement noise from electronic sampling. The statistics of the generating noise for the signal model is important in Kalman filtering. The focus of this thesis is to derive the variance of the generating noise in the middle band for the signal model. By this derived variance, the Kalman filter is thus possible to be applied to estimate the optical transfer function for a defected imaging system in the future.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0911108-024450 |
| Date | 11 September 2008 |
| Creators | Wu, Jhong-yang |
| Contributors | Ben-shung Chow, Shie-Jue Lee, Tsung Lee, Chin-Hsing Chen |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911108-024450 |
| Rights | not_available, Copyright information available at source archive |
Page generated in 0.0017 seconds