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dc.citation.endPage 67384 -
dc.citation.startPage 67370 -
dc.citation.title IEEE ACCESS -
dc.citation.volume 11 -
dc.contributor.author Ali, Muhammad -
dc.contributor.author Khan, Dost Muhammad -
dc.contributor.author Saeed, Imran -
dc.contributor.author Alshanbari, Huda M. M. -
dc.date.accessioned 2023-12-21T12:44:58Z -
dc.date.available 2023-12-21T12:44:58Z -
dc.date.created 2023-08-14 -
dc.date.issued 2023-03 -
dc.description.abstract The objective of this research work is to extend the scope of the empirical mode decomposition (EMD) algorithm, as an efficient tool to decompose the nonlinear and non-stationary time series. For EMD to be widely applicable, the extension utilizes both clean and noisy data sets. When constructing upper and lower envelopes, the proposed algorithm utilizes the Akima spline interpolation technique rather than a cubic spline. The proposed EMD is called Akima-EMD, which is used to identify non-informative fluctuations in the signal, such as noise, outliers, and ultra-high frequency components, and to break down the clean and chaotic data into various components to avoid distortion. It has been shown through synthetic as well as real-world time series data analysis that the proposed method successfully extracts noise in the form of the first IMF from the data. -
dc.identifier.bibliographicCitation IEEE ACCESS, v.11, pp.67370 - 67384 -
dc.identifier.doi 10.1109/ACCESS.2023.3253279 -
dc.identifier.issn 2169-3536 -
dc.identifier.scopusid 2-s2.0-85149812160 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/65211 -
dc.identifier.wosid 001028869300001 -
dc.language 영어 -
dc.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC -
dc.title A New Approach to Empirical Mode Decomposition Based on Akima Spline Interpolation Technique -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications -
dc.relation.journalResearchArea Computer Science; Engineering; Telecommunications -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Akima -
dc.subject.keywordAuthor empirical mode decomposition (EMD) -
dc.subject.keywordAuthor fast Fourier transform (FFT) -
dc.subject.keywordAuthor intrinsic mode functions (IMFs) -
dc.subject.keywordAuthor variational mode decomposition (VMD) -
dc.subject.keywordAuthor complementary ensemble empirical mode decomposition with adaptive noise (CEEMDAN) -

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