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Applications of SDR exact-ML criterion to tree-searching detection for MIMO systems

contributor authorKim, Minjoon
contributor authorKim, Jaeseok
date accessioned2020-03-12T22:43:29Z
date available2020-03-12T22:43:29Z
date issued2014
identifier other7021135.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1092439?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleApplications of SDR exact-ML criterion to tree-searching detection for MIMO systems
typeConference Paper
contenttypeMetadata Only
identifier padid8231563
subject keywordsMonte Carlo methods
subject keywordsn indoor radio
subject keywordsn polynomials
subject keywordsn radiowave propagation
subject keywordsn ray tracing
subject keywordsn wireless channels
subject keywordsn Monte-Carlo simulations
subject keywordsn indoor hallway
subject keywordsn indoor wireless channels
subject keywordsn material properties randomness
subject keywordsn parameter uncertainties
subject keywordsn polynomial chaos
subject keywordsn quantifying uncertainty estimation
subject keywordsn radiowave propagation
subject keywordsn ray-tracing models
subject keywordsn sector-averaged received power
subject keywordsn Chaos
subject keywordsn Computational modeling
subject keywordsn Material properties
subject keywordsn Monte Carlo meth
identifier doi10.1109/EuCAP.2014.6902136
journal titleignal Processing and Communication Systems (ICSPCS), 2014 8th International Conference on
filesize147176
citations0


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