{"id":359004,"date":"2024-10-20T01:24:00","date_gmt":"2024-10-20T01:24:00","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bs-en-iso-16610-712014\/"},"modified":"2024-10-26T02:02:47","modified_gmt":"2024-10-26T02:02:47","slug":"bs-en-iso-16610-712014","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bs-en-iso-16610-712014\/","title":{"rendered":"BS EN ISO 16610-71:2014"},"content":{"rendered":"
This part of ISO 16610 specifies the characteristics of the robust areal Gaussian regression filter for the evaluation of surfaces that may contain spike discontinuities as well as deep valleys and high peaks. It specifies in particular how to separate large scale lateral components and short scale lateral components of a surface.<\/p>\n
PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
---|---|---|---|---|---|---|---|
4<\/td>\n | Foreword <\/td>\n<\/tr>\n | ||||||
6<\/td>\n | Foreword <\/td>\n<\/tr>\n | ||||||
8<\/td>\n | Introduction <\/td>\n<\/tr>\n | ||||||
9<\/td>\n | Section sec_1 Section sec_2 Section sec_3 Section sec_3.1 Section sec_3.2 1\tScope 2\tNormative references 3\tTerms and definitions <\/td>\n<\/tr>\n | ||||||
10<\/td>\n | Section sec_3.3 Section sec_3.4 Section sec_3.5 Section sec_4 Section sec_4.1 Section sec_4.2 4\tRobust planar Gaussian regression filter 4.1\tGeneral 4.2\tWeighting function <\/td>\n<\/tr>\n | ||||||
11<\/td>\n | Section sec_4.3 4.3\tFilter equation <\/td>\n<\/tr>\n | ||||||
13<\/td>\n | Section sec_4.4 Section sec_5 Section sec_5.1 Section sec_5.2 4.4\tTransmission characteristics 5\tRobust cylindrical Gaussian regression filter 5.1\tGeneral 5.2\tWeighting function <\/td>\n<\/tr>\n | ||||||
14<\/td>\n | Section sec_5.3 5.3\tFilter equation <\/td>\n<\/tr>\n | ||||||
15<\/td>\n | Section sec_5.4 5.4\tTransmission characteristics <\/td>\n<\/tr>\n | ||||||
16<\/td>\n | Section sec_6 Section sec_7 6\tNesting Index for planar and cylinder surfaces 7\tFilter designation <\/td>\n<\/tr>\n | ||||||
17<\/td>\n | Annex sec_A Annex\u00a0A \n(informative)<\/p>\n Regression filter <\/td>\n<\/tr>\n | ||||||
19<\/td>\n | Annex sec_B Annex\u00a0B \n(informative)<\/p>\n Examples <\/td>\n<\/tr>\n | ||||||
20<\/td>\n | Figure fig_B.1 <\/td>\n<\/tr>\n | ||||||
22<\/td>\n | Figure fig_B.2 <\/td>\n<\/tr>\n | ||||||
23<\/td>\n | Figure fig_B.3 <\/td>\n<\/tr>\n | ||||||
24<\/td>\n | Annex sec_C Annex sec_C.1 Table tab_C.1 Annex sec_C.2 Annex\u00a0C \n(informative)<\/p>\n Relationship to the filtration matrix model <\/td>\n<\/tr>\n | ||||||
26<\/td>\n | Annex sec_D Annex sec_D.1 Annex sec_D.2 Annex sec_D.3 Annex sec_D.4 Annex\u00a0D \n(informative)<\/p>\n Relation to the GPS matrix model <\/td>\n<\/tr>\n | ||||||
27<\/td>\n | Table tab_D.1 <\/td>\n<\/tr>\n | ||||||
28<\/td>\n | Reference ref_1 Reference ref_2 Reference ref_3 Reference ref_4 Reference ref_5 Reference ref_6 Reference ref_7 Reference ref_8 Reference ref_9 Bibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Geometrical product specifications (GPS). Filtration – Robust areal filters: Gaussian regression filters<\/b><\/p>\n |