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Using Peano–Hilbert space filling curves for fast bidimensional ensemble EMD realization

dc.contributor.authorCosta, Paulo
dc.contributor.authorBarroso, João
dc.contributor.authorFernandes, Hugo
dc.contributor.authorHadjileontiadis, Leontios J
dc.date.accessioned2025-10-17T16:09:21Z
dc.date.available2025-10-17T16:09:21Z
dc.date.issued2012-08-21
dc.description.abstractEmpirical mode decomposition (EMD) is a fully unsupervised and data-driven approach to the class of nonlinear and non-stationary signals. A new approach is proposed, namely PHEEMD, to image analysis by using Peano–Hilbert space filling curves to transform 2D data (image) into 1D data, followed by ensemble EMD (EEMD) analysis, i.e., a more robust realization of EMD based on white noise excitation. Tests’ results have shown that PHEEMD exhibits a substantially reduced computational cost compared to other 2D-EMD approaches, preserving, simultaneously, the information lying at the EMD domain; hence, new perspectives for its use in low computational power devices, like portable applications, are feasible.eng
dc.description.sponsorshipThis research was supported by the Portuguese Foundation for Science and Technology (FCT), through the FCT project PTDC/EIA/73633/2006 - Smart Vision: active vision for the blind.
dc.identifier.citationCosta et al.: Using Peano–Hilbert space filling curves for fast bidimensional ensemble EMD realization. EURASIP Journal on Advances in Signal Processing 2012 2012:181
dc.identifier.doi10.1186/1687-6180-2012-181
dc.identifier.issn1687-6180
dc.identifier.urihttp://hdl.handle.net/10400.8/14307
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Science and Business Media
dc.relationPTDC/EIA/73633/2006
dc.relation.ispartofEURASIP Journal on Advances in Signal Processing
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectEnsemble empirical mode decomposition (EEMD)
dc.subjectFast bidimensional EEMD
dc.subjectPeano–Hilbert curves
dc.titleUsing Peano–Hilbert space filling curves for fast bidimensional ensemble EMD realizationeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.titleEURASIP Journal on Advances in Signal Processing
oaire.citation.volume2012
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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