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Automated harmonic signal removal technique using stochastic subspace-based image feature extraction

This paper presents automated harmonic removal as a desirable solution to effectively identify and discard the harmonic influence over the output signal by neglecting any user-defined parameter at start-up and automatically reconstruct back to become a useful output signal prior to system identifica...

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書誌詳細
主要な著者:	Abu Hasan, Muhammad Danial, Ahmad, Zair Asrar, Leong, Mohd. Salman, Lim, Meng Hee
フォーマット:	論文
言語:	English
出版事項:	MDPI Multidisciplinary Digital Publishing Institute 2020
主題:	TJ Mechanical engineering and machinery
オンライン･アクセス:	http://eprints.utm.my/id/eprint/90287/1/ZairAsrarAhmad2020_AutomatedHarmonicSignalRemovalTechnique.pdf http://eprints.utm.my/id/eprint/90287/ http://dx.doi.org/10.3390/jimaging6030010
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