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   调制模式识别 的翻译结果: 查询用时:0.326秒
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调制模式识别
相关语句
  modulation recognition
     On the base of the spectral correlation theory and its usage in modulation recognition, the dissertation has discussion and simulation for the modulation signals in order to find communication signals' spectral correlation characters, and then picks up character parameters to recognize communication signals.
     本文在谱相关理论及其在调制模式识别中的应用的基础上,从常规通信信号的谱相关特性出发,针对具体的调制信号进行讨论和仿真,得到不同调制信号的谱相关特性,并以此为参考提取相应的特征参数,进行通信信号调制模式的自动识别。
短句来源
     Modulation recognition technique using spectral correlation approach in software radio
     软件无线电中基于谱相关理论的调制模式识别技术
短句来源
     Multi-resolution analysis and modulation recognition of communication signals is the importance and fundamental research subject in modern electronic warfare and demodulation.
     在现代电子对抗、信号的调制解调中,通信信号的特征分析与调制模式识别是重要的研究课题。
短句来源
  “调制模式识别”译为未确定词的双语例句
     Pattern Recognition of DVB-S2 Digital Signals Based on Artificial Neural Network
     基于人工神经网络的DVB-S2数字信号调制模式识别
短句来源
     2、The extraction method of basic character parameter including envelope, frequency and phase was analyzed and three classification method of digital modulation were also discussed.
     2、对调制模式识别基本特征参数包络、频率和相位的提取方法进行分析,并在此基础上对三种调制信号分类方法分别进行了讨论。
短句来源
     According to the key features that gathered from signals, the modulation mode identification for communication signals was realized. It includes communication signals identification, communication station identification, and installed platform identification.
     它依据从信号中提取的关键特征实现对通信信号的调制模式识别,包括通信信号识别、通信电台及其装载平台的识别。
短句来源
     Unlike other modulation classification algorithms,this one can identify analog and digital modulations at the same time.
     不同于其他调制模式识别算法,该算法能同时识别模拟调制信号和数字调制信号。
短句来源
  相似匹配句对
     A Brief Introduction to Pattern Recognition
     模式识别简述
短句来源
     Artificial Neural Nets and Pattern Recognition
     人工神经网络和模式识别
短句来源
     Pattern Recognition of DVB-S2 Digital Signals Based on Artificial Neural Network
     基于人工神经网络的DVB-S2数字信号调制模式识别
短句来源
     On PWM Modulating Pattern
     关于PWM调制模式
短句来源
     Automatic modulation classification of signals using wavelet transform and pattern recognition
     小波变换与模式识别用于自动识别调制模式
短句来源
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  modulation recognition
A new digital modulation recognition method using features extracted from GAR model parameters
      


A general analog radio signal processing platform has been built based on SWR and DSP techniques. Key algorithms of IF passband sampling, modulation pattern recognition have analysed in detail. Analysis methods of real time radio signal used in different bands and in different modulation schemes have also been presented. Finally, statistic results of system simulation are given.

该文基于 SWR(Software radio)和 DSP(Digital Signal Processing)技术 ,建立一个通用模拟无线信号接收处理平台 .通过对中频带通采样、信号调制模式识别等关键算法理论的分析研究 ,提出了对不同频段、不同调制模式模拟无线信号进行实时分析的方法 .同时 ,通过对实际模拟无线信号的分析仿真 ,得出了统计分析结果

With the development of multi-communication scheme connections and the technology of software radio, communication signals' modulation recognition has been an important challenge. Here, the spectral correlation theory was introduced and recognition features were analyzed.Then the method and flow for usual modulation recognition using spectral correlation approach were presented. With the signals' parameters, the method can recognize the modulation mode. Simulation results show that the method is correct and...

With the development of multi-communication scheme connections and the technology of software radio, communication signals' modulation recognition has been an important challenge. Here, the spectral correlation theory was introduced and recognition features were analyzed.Then the method and flow for usual modulation recognition using spectral correlation approach were presented. With the signals' parameters, the method can recognize the modulation mode. Simulation results show that the method is correct and viable.

随着多体制通信互联和软件无线电技术的发展,通信信号调制样式的识别逐渐成为一个重要的问题.这里在介绍谱相关函数原理、分析谱相关识别特性的基础上,提出了基于谱相关理论的常规通信信号调制模式识别方法及处理流程.该方法根据信号的谱相关特征参数能够比较准确地识别出信号的调制模式,仿真结果显示了该方法的正确性和可行性.

Automatic recognition of digital modulation schemes (ARDMS) is substantial to communication signals analyzing and processing. To use artificial neural network (ANN) in ARDMS,it is essential to form a self-contained feature vector space (SCFVS) beforehand. Basing on the elementary analysis method, the instantaneous features, spectral features and statistic features are discussed. Furthermore, this paper puts forward some high-order statistics for subclasses classification. And a SCFVS has been presented for ARDMS....

Automatic recognition of digital modulation schemes (ARDMS) is substantial to communication signals analyzing and processing. To use artificial neural network (ANN) in ARDMS,it is essential to form a self-contained feature vector space (SCFVS) beforehand. Basing on the elementary analysis method, the instantaneous features, spectral features and statistic features are discussed. Furthermore, this paper puts forward some high-order statistics for subclasses classification. And a SCFVS has been presented for ARDMS. Simulations show satisfactory results for nine different digital modulation types, even at signal-to-noise ratios (SNR) as low as 5dB.

数字信号调制模式的自动识别是无线通信中信号分析和处理的关键步骤之一。神经网络应用于数字信号调制模式识别的一个重要的预处理过程就是要形成完备的特征矢量空间。本文在原有分析方法的基础上,研究了信号的瞬时特征、谱特征和统计特征,特别提出了用于信号子类分析的新的高阶统计量特征,形成了数字调制模式自动识别的较为完备的特征矢量空间。通过对九种数字调制信号进行仿真表明,即使在信噪为5dB的条件下仍然能够获得较高的识别正确率。

 
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