提出了一种基于HHT和支持向量机的实际数字调制信号识别算法。
This paper proposed a digital modulation signal identification method using the HHT and SVM methods.
数字调制方式的识别对于通信信号分析有着重要的作用。
Identification of digital modulation schemes plays an important role in signal analysis.
该方案利用数字混合信号与常用数字调制信号在信号频谱以及星座点的差异提取特征参数进行自动识别。
In the scheme, a set of feature parameters are extracted from signal spectrum and constellation based on the differences between digital mixed signals and common digital modulation signals.
深入研究了数字调制信号的调制制式的识别问题，成功识别了2ask、2fsk、2psk、4ask和4fsk五种数字调制信号。
Studied the modulation identification problem of digital modulated signals, successfully identified 2ask, 2fsk, 2psk, 4ask and 4fsk signals.
该方法用短时分析提取数字调制信号在幅度、频率和相位随时间变化的特征，并利用这些特征对各种数字调制信号进行识别。
The approach is to use short-time analysis to extract the characteristics of time-varying amplitude, frequency and phase in a digital modulation signal, and applies them for simple identification.
该方法用短时分析提取数字调制信号在幅度、频率和相位随时间变化的特征，并利用这些特征对各种数字调制信号进行识别。
The approach is to use short-time analysis to extract the characteristics of time-varying amplitude, frequency and phase in a digital modulation signal, and applies them for simple identification.
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