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NARMAX model based pseudo-Hammerstein identification for rate-dependent hysteresis

Author:
Deng, Liang
,
Yang, Ping
,
Xue, Yang
,
Lv, Xueqin
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ChinaSIP.2014.6889305
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1083705
Keyword(s): interference suppression,n maximum likelihood detection,n radiofrequency interference,n satellite communication,n crucial group detection,n groupwise interference cancellation,n ideal joint detection method,n maximum likelihood detection,n multibeam satellite systems,n Computational complexity,n Interference cancellation,n Maximum likelihood detection,n Partitioning algorithms,n Satellites,n Simulation,n group-wise interference cancellation,n maxim
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    NARMAX model based pseudo-Hammerstein identification for rate-dependent hysteresis

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contributor authorDeng, Liang
contributor authorYang, Ping
contributor authorXue, Yang
contributor authorLv, Xueqin
date accessioned2020-03-12T22:27:31Z
date available2020-03-12T22:27:31Z
date issued2014
identifier other7010331.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1083705?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleNARMAX model based pseudo-Hammerstein identification for rate-dependent hysteresis
typeConference Paper
contenttypeMetadata Only
identifier padid8220916
subject keywordsinterference suppression
subject keywordsn maximum likelihood detection
subject keywordsn radiofrequency interference
subject keywordsn satellite communication
subject keywordsn crucial group detection
subject keywordsn groupwise interference cancellation
subject keywordsn ideal joint detection method
subject keywordsn maximum likelihood detection
subject keywordsn multibeam satellite systems
subject keywordsn Computational complexity
subject keywordsn Interference cancellation
subject keywordsn Maximum likelihood detection
subject keywordsn Partitioning algorithms
subject keywordsn Satellites
subject keywordsn Simulation
subject keywordsn group-wise interference cancellation
subject keywordsn maxim
identifier doi10.1109/ChinaSIP.2014.6889305
journal titlentelligent Control and Information Processing (ICICIP), 2014 Fifth International Conference on
filesize2202040
citations0
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