用平稳时间序列分析方法建立随机部分模型，并预测沉降随机部分值，二者之和即为某时期沉降预测值。
The random settlement could be gotten by random prediction model that is established by smooth and stable time series analysis method.
经济过程中的结构突变，对非平稳时间序列的分析具有非常重要的影响。
The structure mutation during the economic process has very important influence on the analysis of non-smoothed time series.
本文用时间序列分析的方法，在机床连续切削和非连续平稳切削状态下识别机床的固有频率。
In this article, the natural frequencies of machine tools under continuous cutting and steady non-continuous cutting conditions are identified with time series method.
非平稳时间序列的状态空间建模技术被用于陀螺漂移分析。
A state space approach for the modeling of nonstationary time series is presented.
将非平稳时间序列的状态空间建模方法用于陀螺过渡过程的分析。
Stationary time series state space modeling method for the analysis of the transition process gyro.
由于实际信号常常具有非平稳特征，直接应用AR模型进行时间序列分析，得不到理想的效果。
The real signals have often non-stationary characteristic, so if we analyse these time series using AR model directly, we cant obtain design result.
研究结果表明，小波变换是分析非平稳随机时间序列的有效工具，在水文水资源领域应用潜力很大。
The results indicate that the wavelet transform is an effective tool for nonstationary stochastic series analysis, which has great potential in hydrology and water resources research.
验证了时间序列分析方法在非平稳随机信号处理方面的可靠性；
The reliability of the time-series analysis method in processing unsteady random signals is verited.
在实证检验前，对利率时间序列的平稳性进行了分析。
Before the study, stationarity of interest rates are analyzed.
将小波分析理论、灰色预测理论和时间序列预测法组合进行需水量的预测，为原始非平稳时间序列的预测应用拓展了空间。
The space of prediction and application of non-stationary time series were expanded through the combined model of wavelet analysis, gray and time series prediction methods.
将小波分析理论、灰色预测理论和时间序列预测法组合进行需水量的预测，为原始非平稳时间序列的预测应用拓展了空间。
The space of prediction and application of non-stationary time series were expanded through the combined model of wavelet analysis, gray and time series prediction methods.
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