本文研究了非平稳随机振动信号的瞬时功率谱。
The instantaneous power spectrum of nonstationary random vibration signals is discussed in this paper.
简介了研制的随机振动信号处理虚拟仪器系统的组成。
Here the composition of the developed virtual instrument system of processing a random vibration signal is introduced.
基于自回归滑动平均模型(ARMA)的方法，实现了不同车速和路面条件下的随机振动信号的实验室再现。
The reconstruction of vehicle random vibration signal under different vehicle speed and road conditions is realized in laboratory, based on an auto regressive moving average (ARMA) time series model.
对随机信号的分析是研究、处理各种随机振动问题的必要步骤。
It is required to analyze random signals in treating many Stochastic vibration problems.
然后利用弹性波理论和信号随机调制理论，分析了多路随机振动互相作用。
Then the mutual affection of multi-pneumatic-hammers was studied using the theory of elasticity wave and random modulation.
然而，目前基于功率谱均衡的数字式随机振动控制系统只能产生高斯分布的随机振动激励信号。
However, the digital random vibration control systems currently based on power spectrum fitting can only generate random vibration exciting signals with Gaussian probability distribution.
然而，目前基于功率谱均衡的数字式随机振动控制系统只能产生高斯分布的随机振动激励信号。
However, the digital random vibration control systems currently based on power spectrum fitting can only generate random vibration exciting signals with Gaussian probability distribution.
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