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   调制识别 在 计算机软件及计算机应用 分类中 的翻译结果: 查询用时:0.009秒
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调制识别
相关语句
  modulation recognition
    Digital modulation recognition based on ART2A-E neural network
    基于ART2A-E神经网络的数字调制识别
短句来源
    A new method of automatic digital modulation recognition based on ART2A-E neural network has been proposed after analyzing the traditional structure of ART2/2A neural network, and the ability of the proposed classifier are evaluated with six different modulation types such as 2PSK,4PSK,OQPSK,GMSK,π/4OQPSK and 4ASK.
    在分析经典的ART2/2A网络基础上,提出了一种基于ART2A-E神经网络的自动数字调制识别分类器,并测试了分类器对2PSK、4PSK、OQPSK、GMSK、π/4OQPSK、4ASK6种数字调制信号的识别能力.
短句来源
  相似匹配句对
    Simulation of Automatic Recognition of Analogue Modulated Signals
    模拟信号调制方式自动识别仿真
短句来源
    Online Automatic Modulation Recognition Based on Neural Networks
    基于神经网络的在线调制自动识别
短句来源
    recognition is finished.
    进行识别
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    Facial expression recognition.
    表情识别
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  modulation recognition
A new digital modulation recognition method using features extracted from GAR model parameters
      


A new method of automatic digital modulation recognition based on ART2A-E neural network has been proposed after analyzing the traditional structure of ART2/2A neural network, and the ability of the proposed classifier are evaluated with six different modulation types such as 2PSK,4PSK,OQPSK,GMSK,π/4OQPSK and 4ASK. Simulation results showed that the success rates for the six kinds of digitally modulated signals were all higher than 90% at 8 dB Signal to Noise Ratio (SNR), and a new pattern could be clustered...

A new method of automatic digital modulation recognition based on ART2A-E neural network has been proposed after analyzing the traditional structure of ART2/2A neural network, and the ability of the proposed classifier are evaluated with six different modulation types such as 2PSK,4PSK,OQPSK,GMSK,π/4OQPSK and 4ASK. Simulation results showed that the success rates for the six kinds of digitally modulated signals were all higher than 90% at 8 dB Signal to Noise Ratio (SNR), and a new pattern could be clustered into new domains automatically without overlaying the original memory patterns, the property of expansibility and self-adaptation is improved and the error rate is decreased.

在分析经典的ART2/2A网络基础上,提出了一种基于ART2A-E神经网络的自动数字调制识别分类器,并测试了分类器对2PSK、4PSK、OQPSK、GMSK、π/4OQPSK、4ASK6种数字调制信号的识别能力.仿真结果表明,该分类器对这6种数字调制信号在信噪比为8dB条件下识别率达到90%以上,而且在不影响网络已记忆模式情况下能自动对未学习模式进行新的聚类,提高了自动调制分类器的自适应性和可扩展性,减少了错判概率.

The Online Automatic Modulation Recognition (AMR) of the unknown received signals is important for military field and frequency spectral surveillance. This paper mainly proposes an algorithm that the speedy constringency classifier of neural networks and proposes a system model of online modulation recognition. Simulate Test shows that it has good performance.

对未知的无线电信号的调制类型进行在线自动识别在军事对抗和频谱监控中有着非常重要的意义。提出了一种在线进行调制识别的系统模型,并给出一种基于神经网络的快速收敛分类器算法。仿真结果证实了该种方法的有效性。

 
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