Publicação
Using Peano–Hilbert space filling curves for fast bidimensional ensemble EMD realization
| dc.contributor.author | Costa, Paulo | |
| dc.contributor.author | Barroso, João | |
| dc.contributor.author | Fernandes, Hugo | |
| dc.contributor.author | Hadjileontiadis, Leontios J | |
| dc.date.accessioned | 2025-10-17T16:09:21Z | |
| dc.date.available | 2025-10-17T16:09:21Z | |
| dc.date.issued | 2012-08-21 | |
| dc.description.abstract | Empirical 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.sponsorship | This 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.citation | Costa 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.doi | 10.1186/1687-6180-2012-181 | |
| dc.identifier.issn | 1687-6180 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/14307 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Springer Science and Business Media | |
| dc.relation | PTDC/EIA/73633/2006 | |
| dc.relation.ispartof | EURASIP Journal on Advances in Signal Processing | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Ensemble empirical mode decomposition (EEMD) | |
| dc.subject | Fast bidimensional EEMD | |
| dc.subject | Peano–Hilbert curves | |
| dc.title | Using Peano–Hilbert space filling curves for fast bidimensional ensemble EMD realization | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 1 | |
| oaire.citation.title | EURASIP Journal on Advances in Signal Processing | |
| oaire.citation.volume | 2012 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 |