2015
DOI: 10.1109/mcom.2015.7295481
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Wideband blind signal classification on a battery budget

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Cited by 6 publications
(2 citation statements)
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“…The higher-order statistics, instantaneous statistics, and other features are calculated in the feature extraction. Then, the popular classification methods, such as decision trees [ 8 ], support vector machine [ 9 , 10 ], and artificial neural networks (ANNs) [ 11 , 12 ], are adopted as the classifiers. With the rapid rise of artificial intelligence and the emerging requirements of intelligent wireless communication, deep-learning-based approaches are now becoming widely studied and used in different aspects of wireless communication, such as the transceiver design at the physical layer [ 13 ] and BMC problems [ 7 , 14 , 15 , 16 , 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%
“…The higher-order statistics, instantaneous statistics, and other features are calculated in the feature extraction. Then, the popular classification methods, such as decision trees [ 8 ], support vector machine [ 9 , 10 ], and artificial neural networks (ANNs) [ 11 , 12 ], are adopted as the classifiers. With the rapid rise of artificial intelligence and the emerging requirements of intelligent wireless communication, deep-learning-based approaches are now becoming widely studied and used in different aspects of wireless communication, such as the transceiver design at the physical layer [ 13 ] and BMC problems [ 7 , 14 , 15 , 16 , 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%
“…The higher-order statistics, instantaneous statistics, and other features are calculated in the feature extraction. Then the popular classification methods, such as decision tree [7], support vector machine [8] [9], and artificial neural network (ANN) [10] [11] are adopted as the classifiers.…”
Section: Introductionmentioning
confidence: 99%