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dc.contributor.author | Gainutdinova A. | |
dc.contributor.author | Gainutdinov V. | |
dc.contributor.author | Gainutdinova T. | |
dc.date.accessioned | 2018-04-05T07:09:37Z | |
dc.date.available | 2018-04-05T07:09:37Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 1068-7998 | |
dc.identifier.uri | http://dspace.kpfu.ru/xmlui/handle/net/129859 | |
dc.description.abstract | © 2017, Allerton Press, Inc. We propose an algorithm for real-time data smoothing due to considerable reduction and simplification of computations by employing the recursive least mean squares technique. The efficiency of algorithms is shown by an example of determining the flight airspeed and altitude based on the data of pressure sensors. | |
dc.relation.ispartofseries | Russian Aeronautics | |
dc.subject | data smoothing algorithm | |
dc.subject | recursive least mean squares technique | |
dc.title | An efficient algorithm of data smoothing in real-time calculations | |
dc.type | Article | |
dc.relation.ispartofseries-issue | 3 | |
dc.relation.ispartofseries-volume | 60 | |
dc.collection | Публикации сотрудников КФУ | |
dc.relation.startpage | 358 | |
dc.source.id | SCOPUS10687998-2017-60-3-SID85040466180 |