nonstationarity造句

• Discuss and analyze changing characteristic of berry phase , the berry phase is intimately connected with the nonstationarity of a quantum state
  几何相与量子状态的非定态性有直接的联系，定态没有berry相。
• For the nonstationarity of the signal in field , eigenvector of fault is computed with newly advanced wavelet analysis , as the preprocessing in diagnosis procedure
  考虑到现场中信号的非平稳性，采用新发展的小波分析工具，提取故障的特征向量，作为诊断过程的预处理。
• The traditional approaches for eeg signal processing are mostly on the time or frequency analysis . but due to the strong randomness and nonstationarity of eeg , the results obtained from those traditional methods are not very satisfying
  但由于脑电信号随机性和非平稳性都很强，这些时、频分析方法就有其各自的局限性，很难得到令人满意的结果。
• The time series nonstationarity has relation to system and time scale with which researchers are concerned , and the research of nonstationarity focuses on the fields of the statistics , nonlinear science and time - frequency analysis now
  摘要时间序列非平稳度不仅是系统特性的反映，还与研究者感兴趣的时间尺度有关，目前相关的研究集中在统计学，非线性科学和时频分析领域。
• This paper discusses mainly how to apply the varying coefficient regression model in the econometrics , fited by the varying coefficient model , we can not only obtain the well fitted value , but also can explore the nonstationarity in the economical structure explained
  摘要文章主要讨论了变系数回归模型在计量经济学中的应用，变系数回归模型不但有很好的拟合效果，而且可以探讨变量之间的经济结构的非平稳性，这是经典的线性回归模型所不能比拟的。
• Considering the characteristic of vibration of rotary machines , this thesis makes a thorough discussion of forecasting the trend of vibration by a means of time series model , puts forward means of processing the nonstationarity , nonnormality and singular value of the field data and distinguishing their models to build a appropriate model and gets precise mulstep forecast to the trend of vibration
  针对旋转机械的振动的特点，本文深入讨论了利用时间序列模型预测振动趋势的方法，并提出了如何处理现场数据的非平稳性，非正态性，奇异值和模型类型判别方法，以构建合适的模型，实现对振动趋势进行准确的多步预测。
• The analysis methods that the system adopts are introduced from the view of time - domain , frequency - domain and time - frequency - domain . emphasis is focused on the correlation integral analysis method . the measurement parameter of signal nonstationarity defined on the basis of correlation integral is discussed , and the feasibility that it is used to diagnose the faults of dynamic nonstationarity as the characteristic parameter is also investigated with a case
  本文将系统中所实现的常规分析方法从时域分析、频域分析和时频域分析三个角度分类进行了说明，重点介绍了相关积分分析方法，探讨了基于相关积分定义信号非平稳性的度量参数，并结合实例探讨了该参数作为特征参数诊断动态过程非平稳类故障的可行性。
• As far as the nonstationarity during the long period operation of machinery was concerned , the application of adaptive linear element ( adaline ) neural network to prediction of nonstationary time series was studied . the relationship between adaline and auto regressive ( ar ) model was analyzed , and the method to determine the number of input neurons in adaline prediction model according to bic criteria was presented . the effect of the adaptive learning rate on prediction was also analyzed
  针对生产实践中设备运行的非平稳性，基于动态预测思想，研究了非平稳时间序列的自适应线性单元( adaline )神经网络预测，讨论了adaline和自回归( ar )模型之间的关系，提出根据ar模型定阶方法确定adaline预测模型的输入神经元数目，分析了自适应学习率对预测性能的影响，为机械设备状态预测提供了一种方法。