利用ADAMS做模态分析，可以求得频率响应、功率谱密度(PSD)、模态坐标等信息。
We can get frequency response, power spectrum density (PSD), modal coordinates, etc. by modal analysis module of ADAMS.
压力信号的功率谱密度具有频率波动范围窄、幅值大的特点；
They obey normal distributions. Distributions of power spectral density (PSD) for pressure signal display narrower frequency range and higher amplitude.
功率谱密度不论水淹程度如何，整体为一随频率增大其能量按指数递减连续频谱；
The density of power spectral entropy, on the whole, is an exponential decline curve with frequency augmentation without reference to water flooded extent.
本文介绍的监护仪用彩色密度谱阵列图来监测脑电频率的变化趋势。
The EEG monitor described in this paper is concerned with the monitoring of the trend of frequency in EEG with a new method termed color density spectral array (CDSA).
理论推导和实例结果表明，随机振动的声学响应特性取决于声学频率响应函数和激励谱密度函数。
The results show that acoustic response feature of random vibration depends on the acoustic response function and the spectral density function of the stimulating load.
假设输入函数为各态历经的平稳随机过程，得出各输出响应的谱密度与频率的关系。
The relations between spectrum densities of system output responses and frequency were obtained by assuming input functions to be ergodic and stable stochastic processes.
用修正哈达玛方差(MHV)来测量频率源的谱密度已在国内外广泛流行。
Modified Hadamard Variance (MHV) has been widely used for the power spectrum measurement of frequency sources.
目的以门诊量资料为例，计算功率谱密度函数，研究时间序列信号的频率域特征。
Objective The power spectral density functions of outpatient flow are calculated in order to study the spectral characteristics of the given time series.
通过对循环谱密度分析方法的特性分析，指出应用循环谱密度分析方法可以在循环频率域有效提取出滚动轴承的冲击故障频率。
Based on the analytic method of cyclic spectrum density, the paper pointed out that the impact frequency could be extracted effectively with the help of scanning cyclic frequency domain.
不同波场类型的风浪方向谱各组成波的谱密度极值方向不同，表明不同频率的组成波有不同的主方向。
The extremal spectrum density directions of components of wind wave spectrum types are different. This indicates that wave components of different frequencies have different principal directions.
不同波场类型的风浪方向谱各组成波的谱密度极值方向不同，表明不同频率的组成波有不同的主方向。
The extremal spectrum density directions of components of wind wave spectrum types are different. This indicates that wave components of different frequencies have different principal directions.
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