多分量调幅信号的神经网络解调

2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T) Pub Date : 2021-10-05 DOI:10.1109/PICST54195.2021.9772215

I. Horbatyi, I. Tsymbaliuk

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引用次数: 0

摘要

综述了多种调幅元件的特点，阐述了调幅元件的主要原理。分析了以往提出的多种分量调幅传输装置，指出了存在的不足，并提出了利用神经网络进行改进的建议。设计并测试了用于多分量调幅信号解调的神经网络。

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Neural Network Demodulation of Signals With Amplitude Modulation of Many Components

Features of amplitude modulation of many components were reviewed, and its main principles explained. Previously proposed transmitting devices for amplitude modulation of many components were analyzed and certain shortcomings pointed out with improvements based on use of neural network suggested. Neural network for demodulating signals with amplitude modulation of many components was designed and tested.

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2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T)

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