000233502 001__ 233502
000233502 005__ 20180317095128.0
000233502 0247_ $$2doi$$a10.1109/ICASSP.2015.7178597
000233502 037__ $$aCONF
000233502 245__ $$aExact asymptotics of distributed detection over adaptive networks
000233502 269__ $$a2015
000233502 260__ $$bIEEE$$c2015
000233502 336__ $$aConference Papers
000233502 520__ $$aIn [1], an important step toward the characterization of distributed detection over adaptive networks has been made by establishing the fundamental scaling law of the error probabilities. However, empirical evidence reported in [1] revealed that a refined asymptotic analysis is necessary in order to capture the exact impact of network connectivity on the detection performance of each individual agent. Here we address this open issue by exploiting the framework of exact asymptotics.
000233502 700__ $$aMatta, Vincenzo
000233502 700__ $$aBraca, Paolo
000233502 700__ $$aMarano, Stefano
000233502 700__ $$0251037$$aSayed, Ali H.$$g283344
000233502 7112_ $$aIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)$$cSouth Brisbane, Queensland, Australia$$dApril 19-24, 2015
000233502 773__ $$q3377-3381$$tInternational Conference on Acoustics, Speech and Signal Processing (ICASSP)
000233502 909CO $$ooai:infoscience.tind.io:233502$$pSTI$$pconf
000233502 909C0 $$0252608$$pASL$$xU13470
000233502 917Z8 $$x144315
000233502 917Z8 $$x144315
000233502 937__ $$aEPFL-CONF-233502
000233502 970__ $$amatta2015exact/ASL
000233502 973__ $$aOTHER$$rREVIEWED$$sPUBLISHED
000233502 980__ $$aCONF