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dc.contributor.authorRiaz, M. M.cs_CZ
dc.contributor.authorGhafoor, A.cs_CZ
dc.date.accessioned2015-01-22T11:09:04Zcs_CZ
dc.date.accessioned2015-01-22T14:13:15Z
dc.date.available2015-01-22T11:09:04Zcs_CZ
dc.date.available2015-01-22T14:13:15Z
dc.date.issued2012-06cs
dc.identifier.citationRadioengineering. 2012, vol. 21, č. 2, s. 580-589. ISSN 1210-2512cs
dc.identifier.issn1210-2512cs_CZ
dc.identifier.urihttp://hdl.handle.net/11012/37098cs_CZ
dc.description.abstractSingular value decomposition based through wall image enhancement is proposed which is capable of discriminating target, noise and clutter signals. The overlapping boundaries of clutter, noise and target signals are separated using fuzzy logic. Fuzzy inference engine is used to assign weights to different spectral components. K-means clustering is used for suitable selection of fuzzy parameters. Proposed scheme significantly works well for extracting multiple targets in heavy cluttered through wall images. Simulation results are compared on the basis of mean square error, peak signal to noise ratio and visual inspection.en
dc.formattextcs
dc.format.extent580-589cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2012/12_02_0580_0589.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectThrough wall imagingen
dc.subjectImage enhancementen
dc.subjectSingular value decompositionen
dc.subjectFuzzy logicen
dc.subjectK-means clusteringen
dc.titleFuzzy Logic and Singular Value Decomposition based Through Wall Image Enhancementen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue2cs
dc.coverage.volume21cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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