An Elementary Introduction to Kalman Filtering.
The article offers derivation of Kalman filtering, a state estimation technique used in computer programming. Topics covered include computer system control, the use of Kalman filtering as a black box, and how Kalman filtering can improve approximation.
| Published in: | Communications of the ACM Vol. 62; no. 11; pp. 122 - 134 |
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| Main Authors: | , , , |
| Format: | Article |
| Published: |
Association for Computing Machinery
Nov2019
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=139511229&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 139511229 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Nov2019 vid: 62 iid: 11 pid: 68 pub: Association for Computing Machinery artinfo: ui: 139511229 10.1145/3363294 ppf: 122 ppct: 12 formats: tig: atl: An Elementary Introduction to Kalman Filtering. aug: au: YAN PEI BISWAS, SWARNENDU FUSSELL, DONALD S. PINGALI, KESHAV affil: Graduate research assistant in the Department of Computer Science at the University of Texas, Austin, TX, USA. Assistant professor in the Department of Computer Science and Engineering at the Indian Institute of Technology, Kanpur, India. Trammell Crow Regents Professor in the Department of Computer Science at the University of Texas, Austin, TX, USA. Professor in the Department of Computer Science at the University of Texas, Austin. W.A.”Tex” Moncrief Chair of Computing in the UT Oden Institute of Computational Engineering and Science, Austin, TX, USA. su: Kalman filtering Computer systems Approximate reasoning Approximation algorithms Algorithms sug: subj: Kalman filtering Computer systems Approximate reasoning Approximation algorithms Algorithms ab: The article offers derivation of Kalman filtering, a state estimation technique used in computer programming. Topics covered include computer system control, the use of Kalman filtering as a black box, and how Kalman filtering can improve approximation. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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