A seven point smoothing program for NUWES data
Tysver, Joseph Bryce
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The proposed BASIC program for smoothing NUWES data uses the Least- Squares Method to fit a polynomial to a 7-point data segment. It determines the best fitting polynomial of order 1, 2, or 3 and establishes an estimate for the coordinate at the time in the center of the data segment. It also establishes a Figure-of-Merit (FM) for that estimate. This program is designed specifically for treatment of outliers and missing points but it can also be used for smoothing of other observations. It is intended to be used as the basic smoothing program for NUWES data and to provide a value of FM for each observation time for feedback to the Instrumentation Department. Values of the FM's also provide information for other users of the smoothed data on it's quality (i.e., how well the smoothed values can be expected to represent the actual path of a vehicle)
NPS Report NumberNPS55-86-003PR
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