介绍了一种基于信号幅度特征的时域提取算法，可以准确地从数模混合信号中提取数字信号。
This paper introduces a time-domain extracting arithmetic based on signal range feature. The digital signal can be extracted from digital and analog mixed-signal exactly.
研究特征信号幅度与转速和载荷的关系；
Study the characteristic signal range with turn soon and carry the relation of the lotus.
鉴别器，鉴频器：一种将输入信号的某一特征，如频率或相位转变为幅度变化装置，其变化大小因信号与标准或参考信号的不同程度而异。
Discriminator: a device that converts a property of an input signal such as frequency or phase into an amplitude variation depending on how the signal differs from a standard or reference signal.
通过验证，所产生的调制信号具有良好的误差向量幅度（EVM）和频谱特征。
The algorithm is verified by experiments and the modulator can produce digital modulation signals with good EVM(Error Vector Magnitude) and spectrum mask.
文中充分利用了目标信号的频率、幅度和增幅速率这三个特征量，设计出具有幅度检测、增幅速率检测、带外干扰信号检测的信号处理器。
In this paper, a signal processor, which can measure frequency, amplitude and amplitude-increasing velocity, is contrived by making full use of these three characteristic parameters.
雷达回波信号中，除幅度、相位和多普勒频移外，还存在第四特征——极化信息。
Besides amplitude, phase and Doppler frequency, polarimetric information is the fourth characteristic in the radar echo.
本文对语音信号特征参数、语音信号特征参数的选择进行了介绍，并介绍了语音信号的短时能量、短时平均幅度的提取。
In this paper we introduced the speech signal feature parameters, the speech signal feature parameters selection, and introduced short-term energy, short-term average range extraction.
首先介绍从信号幅度、相位、频率及功率谱等特性中提取的三种特征参数，应用这三种参数采用人工神经网络对模拟调制信号进行了识别。
Three features parameters derived from the instantaneous amplitude, instantaneous phase, instantaneous frequency and power spectrum of analogue modulated signals are presented in this article.
不同阶幅度矩进行调制分类的方法利用MPSK/MQAM信号每符号段波形起始点与其它点幅度的乘积统计矩特征进行调制分类。
The method with different order amplitude moments makes use of the product moment of signal magnitude for classification of MPSK/MQAM signals.
通过实时提取信号的幅度及形状的综合特征计算出信号的时延。该方法具有较强的抗干扰能力，算法快速、准确，适合于多波束声呐系统的回波信号实时分析处理。
The algorithm is fast and accurate with a strong anti-jamming capability, which can be used for echo signal analysis and processing in real-time multi-beam sonar systems.
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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