An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT Method

Joint Authors

Zhao, Lei
Chen, Gen

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

Electronic engineering

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