Algebraic acceleration and regularization of the source reconstruction method with the recompressed adaptive cross approximation

Files

Algebraic acceleration and regularization of the source reconstruction method with the recompressed adaptive cross approximation.pdf (317.56 KB)

Date

2014

Authors

Editor(s)

Advisor

Supervisor

Co-Advisor

Co-Supervisor

Instructor

BUIR Usage Stats
2
views
19
downloads

Citation Stats

  • Share

Series

Abstract

We present a compression algorithm to accelerate the solution of source reconstruction problems that are formulated with integral equations and defined on arbitrary three-dimensional surfaces. This compression technique benefits from the adaptive cross approximation (ACA) algorithm in the first step. A further error-controllable recompression is applied after the ACA. The numerical results illustrate the efficiency and accuracy of the proposed method. © 2014 IEEE.

Source Title

2014 IEEE Antennas and Propagation Society International Symposium (APSURSI)

Publisher

IEEE

Course

Other identifiers

Book Title

Keywords

Algebra, Algorithms, Integral equations, Numerical methods, Adaptive cross approximation, Adaptive cross approximation algorithms, Compression algorithms, Compression techniques, Numerical results, Recompression, Source reconstruction, Three-dimensional surface, Approximation algorithms

Degree Discipline

Degree Level

Degree Name

Citation

Permalink

http://hdl.handle.net/11693/27860

Published Version (Please cite this version)

http://dx.doi.org/10.1109/APS.2014.6904407

Collections

Scholarly Publications - BİLCEM

Language

English

Type

Conference Paper