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- Transceiver contains two client programs, Much posture, multi-angle, have different light, Suppressed carrier type differential phase modulation.
autocode
- 在高斯噪声下,使用深度学习进行符号调制,画出星座图(Under Gauss's noise, we use deep learning to make symbol modulation and draw a constellation)
testandtrain
- 利用三层卷积神经网络识别信号星座图,准确识别8psk,16psk,32psk,64qpsk四种调制方式,在低信噪比的情况下已然有良好的识别率。(The three layer convolution neural network is used to identify signal constellation, and accurately identify four modulation modes of 8PSK, 16PSK, 32psk and 64qpsk. It has a good
CLDNN
- 基于卷积加长短时记忆网络网络的无线电调制方式识别(Identification of radio modulation based on convolution extended short-term memory network)
CNN
- 基于卷积神经网络的无限电调制方式识别,数据集由软件无线电产生(Recognition of infinite electrical modulation based on convolutional neural network. Data sets are generated by software radio)
CNN
- 卷积神经网络分类 调制信号识别 卷积神经网络(Convolutional Neural Networks, CNN)是一类包含卷积计算且具有深度结构的前馈神经网络(Feedforward Neural Networks),是深度学习(deep learning)的代表算法之一 [1-2] 。卷积神经网络具有表征学习(representation learning)能力,能够按其阶层结构对输入信息进行平移不变分类(shift-invariant classification),因此也被称