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The research on development direction and points in IoT in China power grid

Author:
Chunxin Wang
,
Xiangzhen Li
,
Yakun Liu
,
Huanjuan Wang
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/IBCAST.2014.6778135
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1053627
Keyword(s): image denoising,n image restoration,n impulse noise,n nonlinear estimation,n statistical analysis,n Luo-statistics,n NL-means,n digital images,n image restoration,n impulse detection algorithm,n impulse noise density level,n impulse noise detection,n k-means clustering,n noise filtering stage,n noisy pixelrestoration,n nonlocal-means estimator,n random-valued impulse noise removal,n Detectors,n Image restoration,n Maximum likelihood detect
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    The research on development direction and points in IoT in China power grid

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contributor authorChunxin Wang
contributor authorXiangzhen Li
contributor authorYakun Liu
contributor authorHuanjuan Wang
date accessioned2020-03-12T21:35:07Z
date available2020-03-12T21:35:07Z
date issued2014
identifier other6948106.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1053627
formatgeneral
languageEnglish
publisherIEEE
titleThe research on development direction and points in IoT in China power grid
typeConference Paper
contenttypeMetadata Only
identifier padid8184038
subject keywordsimage denoising
subject keywordsn image restoration
subject keywordsn impulse noise
subject keywordsn nonlinear estimation
subject keywordsn statistical analysis
subject keywordsn Luo-statistics
subject keywordsn NL-means
subject keywordsn digital images
subject keywordsn image restoration
subject keywordsn impulse detection algorithm
subject keywordsn impulse noise density level
subject keywordsn impulse noise detection
subject keywordsn k-means clustering
subject keywordsn noise filtering stage
subject keywordsn noisy pixelrestoration
subject keywordsn nonlocal-means estimator
subject keywordsn random-valued impulse noise removal
subject keywordsn Detectors
subject keywordsn Image restoration
subject keywordsn Maximum likelihood detect
identifier doi10.1109/IBCAST.2014.6778135
journal titlenformation Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
filesize209775
citations0
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