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Algorithms for Selection and Combination of Sliding Intervals for Identification Based on Large Volumes of Flight Data
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This article considers approaches to processing large volumes of flight data using parametric identification methods. The problem is studied from the point of view of selecting informative areas based on a preliminary assessment of identification errors. The paper offers algorithms for combining estimates of pro-cessing intervals for the problem of signal recovery while ensuring its continuity. Their performance is presented by the processing of data obtained at a simulation bench.
Title: Algorithms for Selection and Combination of Sliding Intervals for Identification Based on Large Volumes of Flight Data
Description:
This article considers approaches to processing large volumes of flight data using parametric identification methods.
The problem is studied from the point of view of selecting informative areas based on a preliminary assessment of identification errors.
The paper offers algorithms for combining estimates of pro-cessing intervals for the problem of signal recovery while ensuring its continuity.
Their performance is presented by the processing of data obtained at a simulation bench.
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