简介：ConventionalGaborrepresentationanditsextractedfeaturesoftenyieldafairlypoorperformanceinextractingtheinvariancefeaturesofobjects.Toaddressthisissue,aglobalGaborrepresentationmethodforraisedcharacterspressedonlabelisproposedinthispaper,wheretherepresentationonlyrequiresfewsummationsontheconventionalGaborfilterresponses.Featuresarethenextractedfromthesenewrepresentationstoconstructtheinvariantfeatures.ExperimentalresultsclearlyshowthattheobtainedglobalGaborfeaturesprovidegoodperformanceinrotation,translation,andscaleinvariance.Also,theyareinsensitivetoilluminationconditionsandnoisechanges.ItisprovedthatGaborfilterscanbereliablyusedinlow-levelfeatureextractioninimageprocessingandtheglobalGaborfeaturescanbeusedtoconstructrobustinvariantrecognitionsystem.

简介：Atheoreticalmodelofanonlinearhyperbolicmetamaterialispresentedintheformofastackofsubwavelengthlayersoflinearplasmonicandnonlineardielectricmaterials.Abroadpictureofthepropertiesofevanescentwaves(high-kmodes)inthisstackisinvestigatedbyplottingglobaltransmissiondiagrams.Thepresenceofnonlinearitystronglymodifiesthesediagrams.Theemergenceandmodificationofnonlinearevanescentwavesisobserved.Somesignaturesofnonlinearphenomenonsuchasformationoforbitsandtrajectoriesaroundfixedpointsarealsoseeninourwork.