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

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

Date

2014

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Source Title

2014 IEEE Antennas and Propagation Society International Symposium (APSURSI)

Print ISSN

1522-3965

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Publisher

IEEE

Volume

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Pages

151 - 152

Language

English

Type

Conference Paper

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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.

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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

Citation

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

item.page.isversionof

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

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Computational Electromagnetics Research Center (BiLCEM)