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    Recovery of Signals Distorted by Sensor Nonlinearity

    Source: Journal of Dynamic Systems, Measurement, and Control:;2004:;volume( 126 ):;issue: 004::page 848
    Author:
    Sugathevan Suranthiran
    ,
    Suhada Jayasuriya
    ,
    Meinhard H. Kotzebue Endowed Professor
    DOI: 10.1115/1.1849250
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Considered in this paper is a framework for addressing sensor issues that are related to nonlinearity. When a signal is picked up by a nonlinear sensor, it is often the case that the high amplitude part of the signal is distorted by nonlinearity and the low amplitude part is indistinguishable from noise. The distorted output or sensed signal may no longer represent the original input signal due to the presence of high and low frequency foreign spikes in its frequency spectrum. This situation poses a challenging problem: Would it be possible to uniquely extract the original information from the distorted output? A treatment of this problem is given and it is shown that unique signal recovery is possible when the nonlinear characteristics of the sensor satisfy certain requirements. Based on the analysis, an algorithm is developed to recover finite length signals and its validity and efficiency are demonstrated by simulation results. When the sensor model is not available, it is shown how a model identification scheme may be incorporated into the developed scheme. Experiments performed on a physical sensor support the proposed recovery scheme.
    keyword(s): Sensors , Signals AND Algorithms ,
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      Recovery of Signals Distorted by Sensor Nonlinearity

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    http://yetl.yabesh.ir/yetl1/handle/yetl/129724
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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 accessioned2017-05-09T00:12:29Z
    date available2017-05-09T00:12:29Z
    date copyrightDecember, 2004
    date issued2004
    identifier issn0022-0434
    identifier otherJDSMAA-26336#848_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/129724
    description abstractConsidered in this paper is a framework for addressing sensor issues that are related to nonlinearity. When a signal is picked up by a nonlinear sensor, it is often the case that the high amplitude part of the signal is distorted by nonlinearity and the low amplitude part is indistinguishable from noise. The distorted output or sensed signal may no longer represent the original input signal due to the presence of high and low frequency foreign spikes in its frequency spectrum. This situation poses a challenging problem: Would it be possible to uniquely extract the original information from the distorted output? A treatment of this problem is given and it is shown that unique signal recovery is possible when the nonlinear characteristics of the sensor satisfy certain requirements. Based on the analysis, an algorithm is developed to recover finite length signals and its validity and efficiency are demonstrated by simulation results. When the sensor model is not available, it is shown how a model identification scheme may be incorporated into the developed scheme. Experiments performed on a physical sensor support the proposed recovery scheme.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleRecovery of Signals Distorted by Sensor Nonlinearity
    typeJournal Paper
    journal volume126
    journal issue4
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.1849250
    journal fristpage848
    journal lastpage859
    identifier eissn1528-9028
    keywordsSensors
    keywordsSignals AND Algorithms
    treeJournal of Dynamic Systems, Measurement, and Control:;2004:;volume( 126 ):;issue: 004
    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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