1) alien tones
外加噪声<声>
2) accelerated vehicle exterior noise
车外加速噪声
1.
the paper presented a prediction model of accelerated vehicle exterior noise.
在研究汽车加速噪声的过程中，建立了车外加速噪声的预测模型。
3) outdoor noise
室外噪声(声)
4) external noise
外部噪声
1.
Within a two-band tight-binding model driven by a dc-ac electric field,we investigate the effect of external noise on the transport property of electrons in superlattices.
数值结果表明,外部噪声能够破坏瞬时电流的周期性并且能够削减长时平均电流的峰值。
2.
In this thesis, we investigate the transport properties of an ac driving double-bridged quantum dot arrays coupled to electronic leads with an uniform magnetic field applied perpendicularly on it and the effect of external noise on the dynamical localization of two coupling electrons in an isolated quantum dot array.
第三章研究了在无外源耗散的情况下，外部噪声对含有两个相互作用电子的一维量子点链系统中的动态局域化性质的影响。
5) External noise
外噪声
1.
This method has some resistibility to external noise.
此方法对外噪声具有一定的抵抗能力。
2.
A comparison between the deterministe description and the behavior of the system under external noise is made.
采用微分方程的李群方法 ,研究了外噪声影响下的马尔萨斯系统对应的福克—普朗克方程 ,得出了含时间概率密度P(x ,t)的严格表达式 ;讨论了最可几值x随时间的变化。
3.
A comparsion between the deterministic description and the beharior of the systen under external noise is made.
该文采用微分方程的李群方法，讨论了外噪声影响下的Ｓｃｈｌｇｌ一级相变模型，得出了对应的ＦＰ方程的含时几率密度Ｐ（ｘ，ｔ）的严格表达式；研究了最可几值ｘ随时间的变化。
6) radiated noise
车外噪声
1.
We analyze features of ground shaking signals and radiated noise of moving vehicles on highway using AR model, use hypothesis test to observe difference, discuss the mechanism of the signal, and carry out classification with BP neural networks.
首先对高速公路现场采集到的两种车型共计74辆车,单辆车行驶时产生的地面振动和车外噪声信号进行AR参数模型分析,然后利用假设检验进行显著性差异检验,并对两种信号发生机理进行了初步讨论,设计了BP神经网络进行分类识别。
2.
The features of collected radiated noise of driving vehicles were extracted by means of the AR parametric model.
利用AR参数模型提取采集到的车辆行驶时产生的车外噪声信号的特征,再用假设检验进行特征选择,并设计了BP神经网络进行分类识别。
3.
This paper extracted the futures of collected radiated noise of running vehicles by AR model firstly,then opted features by hypothesis test,and carried out classification by BP-NN.
利用AR参数模型提取采集到的车辆行驶时产生的车外噪声信号的特征,利用假设检验进行特征选择,并设计了BP神经网络进行分类识别。
补充资料：噪声等效声级（简称LEQ）
噪声等效声级（简称LEQ）：是指在规定的时间内，某一连续稳态声的A\[计权\]声压，具有与时变的噪声相同的均方A\[计权\]声压，则这一连续稳态声的声级，就是此时变噪声的等效声级。噪声等效声级(分贝）数值越小越好。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条