caa a22 4500 606199470 CHVBK 20210128100938.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s11045-014-0283-6 doi (NATIONALLICENCE)springer-10.1007/s11045-014-0283-6 3D extension of the fast and adaptive bidimensional empirical mode decomposition [Elektronische Daten] [Jamal Riffi, Adnane Mahraz, Abdelghafour Abbad, Hamid Tairi] The Bidimensional Empirical Mode Decomposition (BEMD) has taken its place among the most known decomposition methods as Fourier transform and wavelet, but the enormous execution time that it requires represents a real obstacle for its application. Hence the Fast and Adaptive Bidimensional Empirical Mode Decomposition (FABEMD) is proposed basically to overcome this obstacle by decreasing the execution time of the BEMD; its principle is based on the use of statistical filters to generate the upper and the lower envelopes instead of the interpolation functions used in the BEMD. In this work we propose a 3D extension of the FABEMD denoted Fast and Adaptive Tridimensional Empirical Mode Decomposition which can decompose a volume into a set of Tridimensional Intrinsic Mode Functions (TIMFs), the first TIMFs belong to the high frequencies and the last ones to the low frequencies. The proposed approach takes an efficient runtime compared with the considerable one required by the Multidimensional Ensemble Empirical Mode Decomposition, and it ensures a good quality of the decomposition in term of orthogonality and reconstruction. The obtained results are encouraging and will open a new road to three dimensional extensions of many applications. Springer Science+Business Media New York, 2014 BEMD nationallicence MEEMD nationallicence FABEMD nationallicence FATEMD nationallicence TIMF nationallicence Riffi Jamal Department of Computer Science, Faculty of Science Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, BP 1796, Fez, Morocco aut Mahraz Adnane Department of Computer Science, Faculty of Science Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, BP 1796, Fez, Morocco aut Abbad Abdelghafour Department of Computer Science, Faculty of Science Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, BP 1796, Fez, Morocco aut Tairi Hamid Department of Computer Science, Faculty of Science Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, BP 1796, Fez, Morocco aut Multidimensional Systems and Signal Processing Springer US; http://www.springer-ny.com 26/3(2015-07-01), 823-834 0923-6082 26:3<823 2015 26 11045 https://doi.org/10.1007/s11045-014-0283-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11045-014-0283-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Riffi Jamal Department of Computer Science, Faculty of Science Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, BP 1796, Fez, Morocco aut NATIONALLICENCE 700 1- Mahraz Adnane Department of Computer Science, Faculty of Science Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, BP 1796, Fez, Morocco aut NATIONALLICENCE 700 1- Abbad Abdelghafour Department of Computer Science, Faculty of Science Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, BP 1796, Fez, Morocco aut NATIONALLICENCE 700 1- Tairi Hamid Department of Computer Science, Faculty of Science Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, BP 1796, Fez, Morocco aut NATIONALLICENCE 773 0- Multidimensional Systems and Signal Processing Springer US; http://www.springer-ny.com 26/3(2015-07-01), 823-834 0923-6082 26:3<823 2015 26 11045