Go to content
UR Home

Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions

Al-Baddai, Saad, Al-Subari, Karema, Tomé, Ana Maria, Ludwig, Bernd, Salas-Gonzales, Diego and Lang, Elmar Wolfgang (2016) Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions. Biomedical Signal Processing and Control 30, pp. 53-63.

Full text not available from this repository.

at publisher (via DOI)


Abstract

We present a new method for decomposing two-dimensional data arrays with empirical mode decomposition (EMD). It performs envelope surface interpolation based on Green's functions in tension (GiT) to extract bi-dimensional intrinsic mode functions (BIMFs). The new method is called GiT-BEMD and outperforms existing bi-dimensional ensemble EMD (BEEMD) variants in terms of computational costs and ...

plus


Export bibliographical data



Item type:Article
Date:2016
Institutions:Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
ValueType
10.1016/j.bspc.2016.06.019DOI
Keywords:Empirical mode decomposition; Green's function; FMRI; SVM; VIMFs
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Partially
Item ID:34664
Owner only: item control page
  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons