Project No.ISO/TR 16610-32:2023
Title<p class="MsoBodyText" style="mso-layout-grid-align: none; text-autospace: none;"><span lang="EN-GB" style="mso-bidi-font-size: 12.0pt;">This document provides information on a generalized version of the linear spline filter for uniform and non-uniform sampling and the robust spline filters for surface profiles. It supplements <span class="stdpublisher"><span style="color: black; mso-color-alt: windowtext;">ISO</span></span> <span class="stddocNumber"><span style="color: black; mso-color-alt: windowtext;">16610</span></span>-<span class="stddocPartNumber"><span style="color: black; mso-color-alt: windowtext;">22</span></span>, <span class="stdpublisher"><span style="color: black; mso-color-alt: windowtext;">ISO</span></span> <span class="stddocNumber"><span style="color: black; mso-color-alt: windowtext;">16610</span></span>-<span class="stddocPartNumber"><span style="color: black; mso-color-alt: windowtext;">30</span></span> and <span class="stdpublisher"><span style="color: black; mso-color-alt: windowtext;">ISO</span></span> <span class="stddocNumber"><span style="color: black; mso-color-alt: windowtext;">16610</span></span>-<span class="stddocPartNumber"><span style="color: black; mso-color-alt: windowtext;">31</span></span>.</span></p> <p class="MsoBodyText" style="mso-layout-grid-align: none; text-autospace: none;"><span lang="EN-GB" style="mso-bidi-font-size: 12.0pt;">This document provides information on how to apply the robust estimation to the spline filter as specified in <span class="stdpublisher"><span style="color: black; mso-color-alt: windowtext;">ISO</span></span> <span class="stddocNumber"><span style="color: black; mso-color-alt: windowtext;">16610</span></span>-<span class="stddocPartNumber"><span style="color: black; mso-color-alt: windowtext;">22</span></span>, as well as its generalized form for non-uniform sampling. The weight function chosen for the M-estimator is the Tukey biweight influence function as specified in <span class="stdpublisher"><span style="color: black; mso-color-alt: windowtext;">ISO</span></span> <span class="stddocNumber"><span style="color: black; mso-color-alt: windowtext;">16610</span></span>-<span class="stddocPartNumber"><span style="color: black; mso-color-alt: windowtext;">31</span></span>.</span></p>
Registration number (WIID)82722
Scope<p class="MsoBodyText" style="mso-layout-grid-align: none; text-autospace: none;"><span lang="EN-GB" style="mso-bidi-font-size: 12.0pt;">This document provides information on a generalized version of the linear spline filter for uniform and non-uniform sampling and the robust spline filters for surface profiles. It supplements <span class="stdpublisher"><span style="color: black; mso-color-alt: windowtext;">ISO</span></span> <span class="stddocNumber"><span style="color: black; mso-color-alt: windowtext;">16610</span></span>-<span class="stddocPartNumber"><span style="color: black; mso-color-alt: windowtext;">22</span></span>, <span class="stdpublisher"><span style="color: black; mso-color-alt: windowtext;">ISO</span></span> <span class="stddocNumber"><span style="color: black; mso-color-alt: windowtext;">16610</span></span>-<span class="stddocPartNumber"><span style="color: black; mso-color-alt: windowtext;">30</span></span> and <span class="stdpublisher"><span style="color: black; mso-color-alt: windowtext;">ISO</span></span> <span class="stddocNumber"><span style="color: black; mso-color-alt: windowtext;">16610</span></span>-<span class="stddocPartNumber"><span style="color: black; mso-color-alt: windowtext;">31</span></span>.</span></p> <p class="MsoBodyText" style="mso-layout-grid-align: none; text-autospace: none;"><span lang="EN-GB" style="mso-bidi-font-size: 12.0pt;">This document provides information on how to apply the robust estimation to the spline filter as specified in <span class="stdpublisher"><span style="color: black; mso-color-alt: windowtext;">ISO</span></span> <span class="stddocNumber"><span style="color: black; mso-color-alt: windowtext;">16610</span></span>-<span class="stddocPartNumber"><span style="color: black; mso-color-alt: windowtext;">22</span></span>, as well as its generalized form for non-uniform sampling. The weight function chosen for the M-estimator is the Tukey biweight influence function as specified in <span class="stdpublisher"><span style="color: black; mso-color-alt: windowtext;">ISO</span></span> <span class="stddocNumber"><span style="color: black; mso-color-alt: windowtext;">16610</span></span>-<span class="stddocPartNumber"><span style="color: black; mso-color-alt: windowtext;">31</span></span>.</span></p>
StatusStandarts spēkā
ICS group17.040.20
17.040.40