A 3-D data smoothing algorithm
Tysver, Joseph Bryce
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The algorithm presented in this report is designed for use in smoothing 3-D data at NUWES. It uses fourth-order sequential differences to screen the data for outliers and then a special form of least-squares smoothing is performed to select an appropriate low-order polynomial and fit it to seven-pont data segments. (Author)
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
NPS Report NumberNPS-55-81-001