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)

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2014

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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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2014 IEEE Antennas and Propagation Society International Symposium (APSURSI)

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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

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

Published Version (Please cite this version)

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

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Scholarly Publications - BİLCEM

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English

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Conference Paper