I.S. EN ISO 16610-29:2015
Superseded
A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.
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GEOMETRICAL PRODUCT SPECIFICATIONS (GPS) - FILTRATION - PART 29: LINEAR PROFILE FILTERS: SPLINE WAVELETS (ISO 16610-29:2015)
Hardcopy , PDF
05-16-2020
English
01-01-2015
For Harmonized Standards, check the EU site to confirm that the Standard is cited in the Official Journal.
Only cited Standards give presumption of conformance to New Approach Directives/Regulations.
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 General wavelet description
5 Recommendations
6 Filter designation
Annex A (normative) - Family of interpolating spline
wavelets
Annex B (informative) - Examples of the application of
cubic of interpolating spline wavelets
Annex C (informative) - Concept diagram
Annex D (informative) - Relationship to the filtration
matrix model
Annex E (informative) - Relation to the GPS matrix model
Bibliography
Defines spline wavelets for profiles and includes the relevant concepts. Provides the basic terminology for spline wavelets of compact support, together with their usage.
DocumentType |
Standard
|
Pages |
34
|
PublisherName |
National Standards Authority of Ireland
|
Status |
Superseded
|
SupersededBy |
Standards | Relationship |
ISO 16610-29:2015 | Identical |
EN ISO 16610-29:2015 | Identical |
ISO/TR 14638:1995 | Geometrical product specification (GPS) Masterplan |
ISO 16610-1:2015 | Geometrical product specifications (GPS) — Filtration — Part 1: Overview and basic concepts |
ISO/TS 16610-22:2006 | Geometrical product specifications (GPS) Filtration Part 22: Linear profile filters: Spline filters |
ISO 16610-20:2015 | Geometrical product specifications (GPS) — Filtration — Part 20: Linear profile filters: Basic concepts |
ISO/IEC Guide 99:2007 | International vocabulary of metrology Basic and general concepts and associated terms (VIM) |
ISO 16610-21:2011 | Geometrical product specifications (GPS) — Filtration — Part 21: Linear profile filters: Gaussian filters |
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