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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Main Authors: | Abu Hasan, Muhammad Danial, Ahmad, Zair Asrar, Leong, Mohd. Salman, Lim, Meng Hee |
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Format: | Article |
Language: | English |
Published: |
MDPI Multidisciplinary Digital Publishing Institute
2020
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Subjects: | |
Online Access: | 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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