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    Performance of Wavelet Transform and Empirical Mode Decomposition in Extracting Signals Embedded in Noise

    Source: Journal of Engineering Mechanics:;2007:;Volume ( 133 ):;issue: 007
    Author:
    T. Kijewski-Correa
    ,
    A. Kareem
    DOI: 10.1061/(ASCE)0733-9399(2007)133:7(849)
    Publisher: American Society of Civil Engineers
    Abstract: Time-frequency transformations have gained increasing attention for the characterization of nonstationary signals in a broad spectrum of science and engineering applications. This study evaluates the performance of two popular transformations, the continuous wavelet transform and empirical mode decomposition with Hilbert transform
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      Performance of Wavelet Transform and Empirical Mode Decomposition in Extracting Signals Embedded in Noise

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    http://yetl.yabesh.ir/yetl1/handle/yetl/86453
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    • Journal of Engineering Mechanics

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    contributor authorT. Kijewski-Correa
    contributor authorA. Kareem
    date accessioned2017-05-08T22:41:14Z
    date available2017-05-08T22:41:14Z
    date copyrightJuly 2007
    date issued2007
    identifier other%28asce%290733-9399%282007%29133%3A7%28849%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/86453
    description abstractTime-frequency transformations have gained increasing attention for the characterization of nonstationary signals in a broad spectrum of science and engineering applications. This study evaluates the performance of two popular transformations, the continuous wavelet transform and empirical mode decomposition with Hilbert transform
    publisherAmerican Society of Civil Engineers
    titlePerformance of Wavelet Transform and Empirical Mode Decomposition in Extracting Signals Embedded in Noise
    typeJournal Paper
    journal volume133
    journal issue7
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/(ASCE)0733-9399(2007)133:7(849)
    treeJournal of Engineering Mechanics:;2007:;Volume ( 133 ):;issue: 007
    contenttypeFulltext
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