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dc.contributor.authorKazempour, M.en_US
dc.contributor.authorGurel L.en_US
dc.date.accessioned2016-02-08T12:03:12Z
dc.date.available2016-02-08T12:03:12Z
dc.date.issued2014en_US
dc.identifier.issn15223965en_US
dc.identifier.urihttp://hdl.handle.net/11693/27860
dc.description.abstractWe 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.en_US
dc.language.isoEnglishen_US
dc.source.titleIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/APS.2014.6904407en_US
dc.subjectAlgebraen_US
dc.subjectAlgorithmsen_US
dc.subjectIntegral equationsen_US
dc.subjectNumerical methodsen_US
dc.subjectAdaptive cross approximationen_US
dc.subjectAdaptive cross approximation algorithmsen_US
dc.subjectCompression algorithmsen_US
dc.subjectCompression techniquesen_US
dc.subjectNumerical resultsen_US
dc.subjectRecompressionen_US
dc.subjectSource reconstructionen_US
dc.subjectThree-dimensional surfaceen_US
dc.subjectApproximation algorithmsen_US
dc.titleAlgebraic acceleration and regularization of the source reconstruction method with the recompressed adaptive cross approximationen_US
dc.typeConference Paperen_US
dc.departmentBilkent Universityen_US
dc.citation.spage151en_US
dc.citation.epage152en_US
dc.identifier.doi10.1109/APS.2014.6904407en_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US


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