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Automatic circuit partitioning for parallel simulation of a power electronic system

Author:
Kato, T. , Inoue, K. , Ogawa, T.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/EMBC.2014.6944009
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1018747
Keyword(s): brain-computer interfaces,feature extraction,feature selection,filtering theory,infrared spectroscopy,medical signal processing,neurophysiology,signal classification,support vector machines,NIRS data,NIRS-based BCI,common average reference spatial filtering,feature extraction,mutual information-based feature selection,near infrared spectroscopy,prefrontal cortex,single-trial baseline reference,single-trial classification,support vector machine classifier,working memory tasks
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    Automatic circuit partitioning for parallel simulation of a power electronic system

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contributor authorKato, T. , Inoue, K. , Ogawa, T.
date accessioned2020-03-12T20:34:43Z
date available2020-03-12T20:34:43Z
date issued2014
identifier other6877128.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1018747
formatgeneral
languageEnglish
publisherIEEE
titleAutomatic circuit partitioning for parallel simulation of a power electronic system
typeConference Paper
contenttypeMetadata Only
identifier padid8142986
subject keywordsbrain-computer interfaces
subject keywordsfeature extraction
subject keywordsfeature selection
subject keywordsfiltering theory
subject keywordsinfrared spectroscopy
subject keywordsmedical signal processing
subject keywordsneurophysiology
subject keywordssignal classification
subject keywordssupport vector machines
subject keywordsNIRS data
subject keywordsNIRS-based BCI
subject keywordscommon average reference spatial filtering
subject keywordsfeature extraction
subject keywordsmutual information-based feature selection
subject keywordsnear infrared spectroscopy
subject keywordsprefrontal cortex
subject keywordssingle-trial baseline reference
subject keywordssingle-trial classification
subject keywordssupport vector machine classifier
subject keywordsworking memory tasks
identifier doi10.1109/EMBC.2014.6944009
journal titleontrol and Modeling for Power Electronics (COMPEL), 2014 IEEE 15th Workshop on
filesize2314109
citations0
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