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COP 1: Data-acquisition and virtual instruments
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| Title: |
SAODR: sequence analysis for outlier data rejection |
| Author: |
Franco Pavese, Daniela Ichim |
| Institute: |
Istituto di Metrologia G Colonnetti - CNR, Torino, Italy |
| Owner: |
Fernando Sparasci |
| Access level: |
Document general information: Guest, Attachments: Guest |
| Abstract: |
In automatic data acquisition, a sample is generally made up of several
instrumental readings. A series of readings is generally reduced to a single
value by simple methods, such as averaging. However, outlying values can
affect the series. The paper introduces an algorithm, named ‘sequence analysis
outlier data rejection’ (SAODR), which takes into account one of
the most common problems affecting the measurand during the acquisition,
i.e. a nonlinear drift with embedded sequences of outliers due to pulse-noise
peaks. The algorithm uses a time-ordering procedure and the ‘distances’
between successive readings. The frequent case of constant sampling rate is
discussed. The reported tests show the results obtained with Fortran 77 and
MATLAB implementations of the algorithm. A rejection efficiency higher
than 99% was obtained.
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| Created: |
9/6/2004 6:52:15 PM |
| Last modified: |
9/6/2004 7:02:31 PM |
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| | Contents: | | 1 | | | Published August 26, 2004 on 'Measurement Science and Technology' 15 (2004) 2047-2052 |
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