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• W2110971283 abstract "The tracking of aerospace engines is reasonably achieved through a trajectography radar system that generally yields a disperse cloud of samples on tridimensional space, which roughly describes the engine trajectory. It is proposed an approach on cleaning radar data to yield a well behaved and smooth output curve that could be used as basis for instant and further analysis by radar specialists. This approach consists on outlier detection and smoothing phases based on established techniques such as Hampel filter and local regression (LOESS). To prove the effectiveness of the approach, both filtered and unfiltered data are submitted to an extrapolation method, and the results are compared" @default.
• W2110971283 created "2016-06-24" @default.
• W2110971283 creator A5006095751 @default.
• W2110971283 creator A5079300980 @default.
• W2110971283 date "2014-09-13" @default.
• W2110971283 modified "2023-09-26" @default.
• W2110971283 title "An Approach to Outlier Detection and Smoothing Applied to a Trajectography Radar Data" @default.
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• W2110971283 doi "https://doi.org/10.5028/jatm.v6i3.325" @default.
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