5 CNN CNN-based automatic modulation classification method for Beyond 5G mobile communications

A proposed automatic modulation classification (AMC) method based on a convolution neural network (CNN), unlike an existing architecture, enables a convolutional layer, a dropout layer, and a Gaussian noise layer to be used for systematization and overfitting reduction. 제안된 CNN(Convolution Neural Ne...

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Bibliographische Detailangaben
Hauptverfasser:	KIM DONG SEONG, KIM DA HYE, ADE PITRA HERMAWAN, LEE JAE MIN
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
Online-Zugang:	Volltext bestellen
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Beschreibung
Zusammenfassung:	A proposed automatic modulation classification (AMC) method based on a convolution neural network (CNN), unlike an existing architecture, enables a convolutional layer, a dropout layer, and a Gaussian noise layer to be used for systematization and overfitting reduction. 제안된 CNN(Convolution Neural Network) 기반의 자동변조분류방법(AMC: automatic modulation classification)은 기존 아키텍처와는 달리, 컨벌루션 레이어(Convolutional layer), 드롭아웃 레이어(Dropout layer), 가우시안 노이즈 레이어(Gaussian noise layer)를 조직화와 과적합 감소를 위해 사용하였다.