![](/images/graphics-bg.png)
An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT Method
Joint Authors
Source
International Journal of Antennas and Propagation
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-24
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
An efficient algorithm is proposed to analyze the electromagnetic scattering problem from a high resolution head model with pixel data format.
The algorithm is based on parallel technique and the conjugate gradient (CG) method combined with the fast Fourier transform (FFT).
Using the parallel CG-FFT method, the proposed algorithm is very efficient and can solve very electrically large-scale problems which cannot be solved using the conventional CG-FFT method in a personal computer.
The accuracy of the proposed algorithm is verified by comparing numerical results with analytical Mie-series solutions for dielectric spheres.
Numerical experiments have demonstrated that the proposed method has good performance on parallel efficiency.
American Psychological Association (APA)
Zhao, Lei& Chen, Gen. 2014. An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT Method. International Journal of Antennas and Propagation،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1036094
Modern Language Association (MLA)
Zhao, Lei& Chen, Gen. An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT Method. International Journal of Antennas and Propagation No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1036094
American Medical Association (AMA)
Zhao, Lei& Chen, Gen. An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT Method. International Journal of Antennas and Propagation. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1036094
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1036094