New results in strip Kalman filtering
| dc.contributor.author | Azimi-Sadjadi, Mahmood R., author | |
| dc.contributor.author | IEEE, publisher | |
| dc.date.accessioned | 2007-01-03T04:18:36Z | |
| dc.date.available | 2007-01-03T04:18:36Z | |
| dc.date.issued | 1989 | |
| dc.description.abstract | The strip Kalman filtering proposed in [1] for image restoration is reconsidered. The procedure given in this reference for parameter estimation of the image model does not take into account the vector nature of the image process, and as a result can lead to incorrect identification. It is also shown that for the composite dynamic model derived in this reference the standard Kalman filtering equations cannot be applied, as the blur states in this model should be estimated one step ahead. These issues are addressed in this paper. | |
| dc.format.medium | born digital | |
| dc.format.medium | articles | |
| dc.identifier.bibliographicCitation | Azimi-Sadjadi, Mahmood R., New Results in Strip Kalman Filtering, IEEE Transactions on Circuits and Systems 36, no. 6 (June 1989): 893-897. | |
| dc.identifier.uri | http://hdl.handle.net/10217/1014 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | Faculty Publications | |
| dc.rights | ©1989 IEEE. | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | picture processing | |
| dc.subject | parameter estimation | |
| dc.subject | Kalman filters | |
| dc.subject | filtering and prediction theory | |
| dc.title | New results in strip Kalman filtering | |
| dc.type | Text |
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