robust gaussian regression filter (Brinkmann Instruments)
90
Structured Review
Brinkmann Instruments
robust gaussian regression filter
Robust Gaussian Regression Filter, supplied by Brinkmann Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/robust+gaussian+regression+filter/robust+gaussian+regression+filter/10__1007_slash_s00107___016___1090___6-40-13-27
Average 90 stars, based on 1 article reviews
Robust Gaussian Regression Filter, supplied by Brinkmann Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/robust+gaussian+regression+filter/robust+gaussian+regression+filter/10__1007_slash_s00107___016___1090___6-40-13-27
Average 90 stars, based on 1 article reviews
robust gaussian regression filter - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Assessment of surface properties and solvent-borne coating performance of red oak wood produced by peripheral planing Article Snippet: Coating performance on wood could be affected for different aspects including the manner in which the surface is prepared.. Peripheral planing is one of the most used machining processes in woodworking.. Improving this process would allow to enhance coating performance. Filtration:Article Title: Signal processor, signal processing method, signal processing program, recording medium with the signal processing program recorded therein and measuring instrument Article Snippet: Further there has been known the robust Gaussian regression filter having the robustness provided by adjusting a weighting factor for each measurement data according to a degree of residual error dk between the measurement data yi and the data gk having been subjected to filtration. (Refer to, for instance 1, reference 2: S. Brinkmann et al., Accessing roughness in three-dimensions using Gaussian regression filtering, International Journal of Machine Tools & Manufacture 41 (2001) 2153-2161, reference 3: S. Brinksmann et al., Development of a robust Gaussian regression filter for three-dimensional surface analysis, Xth International Colloquium on Surface, 2000, pp 122-132). .. Further there has been known the robust Gaussian regression filter having the robustness provided by adjusting a weighting factor for each measurement data according to a degree of residual error dk between the measurement data yi and the data gk having been subjected to filtration. (Refer to, for instance 1, reference 2: |