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    Signal Conditioning With Memory-Less Nonlinear Sensors

    Source: Journal of Dynamic Systems, Measurement, and Control:;2004:;volume( 126 ):;issue: 002::page 284
    Author:
    Sugathevan Suranthiran
    ,
    Suhada Jayasuriya
    ,
    Meinhard H. Kotzebue Endowed Professor
    DOI: 10.1115/1.1766030
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Proposed in this paper is an off-line signal conditioning scheme for memoryless nonlinear sensors. In most sensor designs, a linear input-output response is desired. However, nonlinearity is present in one form or another in almost all real sensors and therefore it is very difficult if not impossible to achieve a truly linear relationship. Often sensor nonlinearity is considered a disadvantage in sensory systems because it introduces distortion into the system. Due to the lack of efficient techniques to deal with the issues of sensor nonlinearity, primarily nonlinear sensors tend to be ignored. In this paper, it is shown that there are certain advantages of using nonlinear sensors and nonlinear distortion caused by sensor nonlinearity may be effectively compensated. A recursive algorithm utilizing certain characteristics of nonlinear sensor functions is proposed for the compensation of nonlinear distortion and sensor noise removal. A signal recovery algorithm that implements this idea is developed. Not having an accurate sensor model will result in errors and it is shown that the error can be minimized with a proper choice of a convergence accelerator whereby stability of the developed algorithm is established.
    keyword(s): Sensors , Noise (Sound) , Signals AND Algorithms ,
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      Signal Conditioning With Memory-Less Nonlinear Sensors

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    http://yetl.yabesh.ir/yetl1/handle/yetl/129781
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorSugathevan Suranthiran
    contributor authorSuhada Jayasuriya
    contributor authorMeinhard H. Kotzebue Endowed Professor
    date accessioned2017-05-09T00:12:36Z
    date available2017-05-09T00:12:36Z
    date copyrightJune, 2004
    date issued2004
    identifier issn0022-0434
    identifier otherJDSMAA-26329#284_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/129781
    description abstractProposed in this paper is an off-line signal conditioning scheme for memoryless nonlinear sensors. In most sensor designs, a linear input-output response is desired. However, nonlinearity is present in one form or another in almost all real sensors and therefore it is very difficult if not impossible to achieve a truly linear relationship. Often sensor nonlinearity is considered a disadvantage in sensory systems because it introduces distortion into the system. Due to the lack of efficient techniques to deal with the issues of sensor nonlinearity, primarily nonlinear sensors tend to be ignored. In this paper, it is shown that there are certain advantages of using nonlinear sensors and nonlinear distortion caused by sensor nonlinearity may be effectively compensated. A recursive algorithm utilizing certain characteristics of nonlinear sensor functions is proposed for the compensation of nonlinear distortion and sensor noise removal. A signal recovery algorithm that implements this idea is developed. Not having an accurate sensor model will result in errors and it is shown that the error can be minimized with a proper choice of a convergence accelerator whereby stability of the developed algorithm is established.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSignal Conditioning With Memory-Less Nonlinear Sensors
    typeJournal Paper
    journal volume126
    journal issue2
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.1766030
    journal fristpage284
    journal lastpage293
    identifier eissn1528-9028
    keywordsSensors
    keywordsNoise (Sound)
    keywordsSignals AND Algorithms
    treeJournal of Dynamic Systems, Measurement, and Control:;2004:;volume( 126 ):;issue: 002
    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
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