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Electrical safety audit findings Do's & Don'ts

Author:
Becker, T.W.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/URSIGASS.2014.6929376
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/982009
Keyword(s): feature extraction,object detection,principal component analysis,probability,radar signal processing,signal classification,signal denoising,signal reconstruction,support vector machines,3D timefrequency feature vector,BIC,Bayesian inference criterion,CPPCA model,SVM classifier,complex probabilistic principal component analysis model,denoising preprocessing,ground moving targets,low resolution radar echoes,microDoppler signatures,moving vehicle,noise-robust radar target classi
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    Electrical safety audit findings Do's & Don'ts

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contributor authorBecker, T.W.
date accessioned2020-03-12T19:33:57Z
date available2020-03-12T19:33:57Z
date issued2014
identifier other6766913.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/982009?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleElectrical safety audit findings Do's & Don'ts
typeConference Paper
contenttypeMetadata Only
identifier padid8096824
subject keywordsfeature extraction
subject keywordsobject detection
subject keywordsprincipal component analysis
subject keywordsprobability
subject keywordsradar signal processing
subject keywordssignal classification
subject keywordssignal denoising
subject keywordssignal reconstruction
subject keywordssupport vector machines
subject keywords3D timefrequency feature vector
subject keywordsBIC
subject keywordsBayesian inference criterion
subject keywordsCPPCA model
subject keywordsSVM classifier
subject keywordscomplex probabilistic principal component analysis model
subject keywordsdenoising preprocessing
subject keywordsground moving targets
subject keywordslow resolution radar echoes
subject keywordsmicroDoppler signatures
subject keywordsmoving vehicle
subject keywordsnoise-robust radar target classi
identifier doi10.1109/URSIGASS.2014.6929376
journal titlelectrical Safety Workshop (ESW), 2014 IEEE IAS
filesize327903
citations0
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