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Efficient computation of polynomial smoothing digital filters

1979/09/01 by Manfred U. A. Bromba, H. Ziegler · 1 voice
Computer Science · Decision Sciences · #Blind Source Separation Techniques #Machine Learning and Algorithms #Scientific Measurement and Uncertainty Evaluation

paper · doi:10.1021/ac50047a038

openalex publication_date 1979/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/06/11

Abstract

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTEfficient computation of polynomial smoothing digital filtersM. U. A. Bromba and Horst. ZieglerCite this: Anal. Chem. 1979, 51, 11, 1760–1762Publication Date (Print):September 1, 1979Publication History Published online1 May 2002Published inissue 1 September 1979https://doi.org/10.1021/ac50047a038Request reuse permissionsArticle Views231Altmetric-Citations37LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (364 KB) Get e-Alertsclose Get e-Alerts

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