A 3-D data smoothing algorithm
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Authors
Tysver, Joseph Bryce
Subjects
Noise
Missing Points
Outliers
Sequential differences
Least squares regression
Polynomials
Missing Points
Outliers
Sequential differences
Least squares regression
Polynomials
Advisors
Date of Issue
1981-01
Date
1981-01
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
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)
Type
Technical Report
Description
Series/Report No
Department
Identifiers
NPS Report Number
NPS-55-81-001
Sponsors
Research and Engineering Department, Naval Undersea Warfare Engineering Station, Keyport, Washington
Funder
N0025381WR70012
Format
NA
Citation
Distribution Statement
Rights
This 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.