000102291 001__ 102291
000102291 005__ 20180318102544.0
000102291 0247_ $$2doi$$a10.1109/EMCECO.2005.1513099
000102291 037__ $$aCONF
000102291 245__ $$aInclusion of an automatic adaptive sampling method in NEC
000102291 269__ $$a2005
000102291 260__ $$c2005
000102291 336__ $$aConference Papers
000102291 500__ $$aSpectral density;Blumer index;Sampling density;
000102291 520__ $$aAs sampling is taking place, the most active regions of the spectrum can be identified (i.e. the vicinity of spectral peaks). By selectively increasing the spectral density within those regions improves the quality of the total spectral representation reducing at the same time the global number of samples, and therefore, the total calculation time. The Blumer index is useful for adapting the sampling density of a calculated or measured spectrum. © 2005 IEEE.
000102291 6531_ $$aSampling;Electromagnetism;Electromagnetic compatibility;
000102291 700__ $$0240921$$aRubinstein, A.$$g135291
000102291 700__ $$0240565$$aRachidi, F.$$g106170
000102291 773__ $$j2005$$q194 - 196$$tIEEE 6th International Symposium on Electromagnetic Compatibility and Electromagnetic Ecology, 2005, Proceedings
000102291 909CO $$ooai:infoscience.tind.io:102291$$pconf$$pSTI
000102291 909C0 $$0252145$$pLRE$$xU10310
000102291 909C0 $$0252310$$pEMC$$xU12147
000102291 937__ $$aLRE-CONF-2005-002
000102291 937__ $$aEPFL-CONF-102291
000102291 970__ $$a063410076622/LRE
000102291 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000102291 980__ $$aCONF