最大熵谱估计法是一种具有很高分辨率，并特别适合短时序列分析的现代谱分析方法。
Maximum entropy spectral analysis method (MEM) is a widely used modern spectral analysis method, which characterizes high resolution and fits for short time sequence especially.
对于非等时序列的时数分离可以建立模型，但这种模型误差分析较困难。
The error analysis by the Time-data -Separation Approach of unequal interval sequence is difficult.
详细阐明了时间序列的基本思想、几种基本时序模型和时序动态特征，讨论分析了如何进行模型识别、模型参数计算和模型的定阶。
The basic idea and some kinds of the common time series models and the development characteristics of time series are explained in detail.
本文从研究可钻性时间序列特征出发，应用分形几何方法，分析了可钻性时序的可预测性。
In this paper the predictability of drillability time series was analyzed using fractal method based on the study of drillability time series characters.
在此基础上，应用时序数据分析法，对实测得到的钻孔瓦斯涌出量序列进行计算分析，发现其具有分维特征。
On the basis of the model and by applying time series analysis, it is discovered that the site measurement series of continuously dynamic gas emission possesses fractal property.
作为对照，用自相关功率谱分析检测短周期项的理论值序列和BIH的世界时序列，都得到了显著的短周期项功率谱。
In contrast with this result, the same analyses of both the theoretical series of tidal terms and the, BIH series of UT demonstrafe the notable power spectrum of the short-period terms.
论述了电液集成数控液压站液压控制系统的时间序列和时序分析建模方法，对所建立的数学模型进行了应用分析。
The time series and the analytic set up method of the electro integrated NC hydraulic station are studied. The mathematical model is analyzed for application.
序列模式挖掘作为一种时序数据分析的有效手段，能够自动从告警中提取出有助于关联分析的情景规则。
As an effective means to analyze timed data sequential pattern mining can extract episode rules from alarms, which is helpful to analyze correlation.
结果表明，当观测数据为非等时序列，采用灰色混沌时间序列进行分析比较有效；
The results show that when to data to be observed is unequal interval, it is more effective for the grey-chaos time series to analyse the data.
将线性回归与时间序列分析进行比较，发现时序分析的平均绝对百分误差(MAPE)远远小于线性回归分析。
Comparing the linear regress analysis with the time series analysis, the latter's MAPE are less than the former.
对这几种不同gre -EPI序列的时序图和K空间填充模式进行分析之后，选定与BEST序列相结合的GRE - EPI序列来改进SWI。
During analyzing the timing diagrams and K space-filling models of these several different GRE-EPI sequences, the BEST series is selected to combine with GRE sequence to improve SWI.
对这几种不同gre -EPI序列的时序图和K空间填充模式进行分析之后，选定与BEST序列相结合的GRE - EPI序列来改进SWI。
During analyzing the timing diagrams and K space-filling models of these several different GRE-EPI sequences, the BEST series is selected to combine with GRE sequence to improve SWI.
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