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    Investigation of a Technique for the Differentiation of Empirical Data

    Source: Journal of Dynamic Systems, Measurement, and Control:;1983:;volume( 105 ):;issue: 003::page 200
    Author:
    D. M. Trujillo
    ,
    H. R. Busby
    DOI: 10.1115/1.3140656
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A dynamic programming filter is derived to estimate the first and second derivatives of empirical data. A series of numerical experiments are conducted using a known differentiable function with various amounts of added random noise.
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      Investigation of a Technique for the Differentiation of Empirical Data

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    https://yetl.yabesh.ir/yetl1/handle/yetl/96861
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    contributor authorD. M. Trujillo
    contributor authorH. R. Busby
    date accessioned2017-05-08T23:15:07Z
    date available2017-05-08T23:15:07Z
    date copyrightSeptember, 1983
    date issued1983
    identifier issn0022-0434
    identifier otherJDSMAA-26078#200_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/96861
    description abstractA dynamic programming filter is derived to estimate the first and second derivatives of empirical data. A series of numerical experiments are conducted using a known differentiable function with various amounts of added random noise.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleInvestigation of a Technique for the Differentiation of Empirical Data
    typeJournal Paper
    journal volume105
    journal issue3
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.3140656
    journal fristpage200
    journal lastpage202
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;1983:;volume( 105 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian