| Title: |
SAODR software |
| Author: |
Franco Pavese, Daniela Ichim |
| Institute: |
IMGC, Torino, Italy |
| Owner: |
Franco Pavese |
| Access level: |
Document general information: Guest, Attachments: Guest |
| Abstract: |
In automatic data acquisition, valid sample is generally made up of several instrumental readings. These series of readings are generally reduced to 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.non linear drift with embedded sequences of outliers due to noise peaks. The algorithm uses a time-ordering procedure and the ”distances” between successive readings. The frequent case of equally-time-spaced data is discussed. Results on tests performed for this case are reported using simulated data with Fortran 77 and MatLab(c) algorithm implementations. A rejection efficiency higher than 99% was obtained. |
| Created: |
3/2/2004 9:45:20 AM |
| Last modified: |
3/23/2004 10:45:21 AM |
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