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   调制类型特征提取 的翻译结果: 查询用时:0.008秒
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调制类型特征提取
相关语句
  “调制类型特征提取”译为未确定词的双语例句
     Feature Abstraction and Automatic Recognition of Modulation Schemes under Interferential Environment
     干扰环境下调制类型特征提取与自动识别
短句来源
     For 10 common modulation schemes, that is, AM, SSB, FM, CW, OOK, PSK, QPSK, FSK, MSK and 16QAM, the related algorithms are designed and simulated, and the corresponding successful recognition rate and the average recognition time for each algorithm are calculated.
     针对AM、CW、SSB、FM、PSK、QPSK、MSK、FSK、16QAM、OOK十种调制类型,本文分别设计了AWGN信道和非AWGN信道下的调制类型特征提取和自动识别算法,并进行了计算机仿真,统计了正确识别率和自动识别的平均时间。
短句来源
     Under nonAWGN channel, aimed at CW, AM, FM, OOK, PSK, QPSK, 16QAM, FSK, MSK, SSB, the methods of characteristic extraction and the algorithm of automatic recognition of modulation schemes has been analyzed, synthesized, designed and simulation.
     在非 AWGN环境下 ,针对 CW,AM,FM,OOK,PSK,QPSK,16 QAM,FSK,MSK,SSB十种混合调制信号 ,对调制类型特征提取方法和自动识别算法进行了分析、综合、设计和计算机仿真。
短句来源
     On the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier-free spectral energy analysis, squared signal and fourth powered signal analysis, etc.
     本论文在分析现有研究的基础上,借鉴了已有的特征提取方法,对相关调制类型特征提取方法进行了优化,使用了一些有效的方法,如基于变换域特征提取方法、梯层电平分析方法、剔除载波后的归一化频域能量分析方法、信号平方后的频谱分析方法、信号四次方后的频谱分析方法等。
短句来源
     Under the condition that the carrier frequency is the only prior knowledge, various feature abstraction methods and AMR algorithms are analyzed, integrated and compared for the AWGN and non-AWGN channels.
     在载波频率是唯一先验知识的条件下,本论文分别对AWGN信道和非AWGN信道下的调制类型特征提取和自动识别算法进行了分析、综合、对比。
短句来源
  相似匹配句对
     Feature Abstraction and Automatic Recognition of Modulation Schemes under Interferential Environment
     干扰环境下调制类型特征提取与自动识别
短句来源
     Expression feature extraction;
     提取表情特征;
短句来源
     2. Feature Extraction.
     2.特征提取
短句来源
     Characteristics and types of the sediments
     沉积物特征类型
短句来源
     Speech features extraction based on wavelet modulation scale
     基于小波调制尺度的语音特征参数提取方法
短句来源
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Under nonAWGN channel, aimed at CW, AM, FM, OOK, PSK, QPSK, 16QAM, FSK, MSK, SSB, the methods of characteristic extraction and the algorithm of automatic recognition of modulation schemes has been analyzed, synthesized, designed and simulation. A few methods have been proposed,such as stepped voltage level analysis, normalized carrierfree spectral energy analysis, squared signal and fourth powered signal analysis, etc.When SNR is equal to 10 dB, it is shown from simulation that, the correct recognition rate...

Under nonAWGN channel, aimed at CW, AM, FM, OOK, PSK, QPSK, 16QAM, FSK, MSK, SSB, the methods of characteristic extraction and the algorithm of automatic recognition of modulation schemes has been analyzed, synthesized, designed and simulation. A few methods have been proposed,such as stepped voltage level analysis, normalized carrierfree spectral energy analysis, squared signal and fourth powered signal analysis, etc.When SNR is equal to 10 dB, it is shown from simulation that, the correct recognition rate is not lower than 95% and the average recognition time is not more than 10 s.

在非 AWGN环境下 ,针对 CW,AM,FM,OOK,PSK,QPSK,16 QAM,FSK,MSK,SSB十种混合调制信号 ,对调制类型特征提取方法和自动识别算法进行了分析、综合、设计和计算机仿真。提出了梯层电平分析方法、频率瞬时信号分析、剔除载波的归一化能量分析、平方后信号的频谱分析、四次方后的信号频谱分析等方法。当 SNR=10 d B时 ,计算机仿真结果是正确识别率不低于 95 % ,自动识别的平均处理时间为不超过 10 s。

 
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