土地利用系统健康时间序列分析。
It took the analysis on time sequence of the health of land use system.
对扩增产物进行了DNA序列分析。
The analysis was based on the amplification through DNA sequence system.
DNA序列分析研究是生物信息学的重要内容之一。
Research on DNA sequence analysis is one of important subjects in Bioinformatics.
主要介绍了现代的信号分析法——时间序列分析法。
Mainly introduced the signal of the modern analysis method - time sequence analysis method.
本文介绍了一种DNA和多肽链序列分析的软件系统。
A computer program for DNA and polypeptide sequence analysis was made.
利用时间序列分析方法对混沌经济时间序列进行研究。
Chaotic economic time series are studied by using time series analyzing methods.
快速影像匹配是进行影像时间序列分析与飞行器导航的重要方法。
Fast image matching is an important method for aircraft navigation and motion analysis.
它还有基因分析，实验方法，在线数据库和基因序列分析的资源。
It has resource of genetic analysis, lab method, online database, sequence analysis.
最后，采用时间序列分析方法建立了半球谐振陀螺的随机误差模型。
Finally, the random error model of HRG is established by using time series analysis method.
本研究还选取了部分形态学上的近似种和疑难种进行ITS序列分析。
Finally, in this study, some similar species in morphology were chosen for ITS sequences analysis.
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.
分析了全球陆地平均的年、季降水序列的周期和趋势特征。
We analyzed the time series of global land average annual and seasonal precipitation.
人体运动分析的主要任务是对视频序列中的人体运动进行跟踪。
Tracking human motion from image sequences is main task for human motion analysis.
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.
最后，对长记忆时间序列arfima模型进行了贝叶斯分析。
Finally, we give Bayesian analysis of the long memory time series ARFIMA model.
应用随机穿越理论分析了有限个随机滞留时间序列中的毁伤概率问题。
The killing probability in finite random stationary time series is studied by stochastic passage theory.
故障树分析、事件树分析、事故序列定量评定以及不确定性分析等。
The study includes fault tree analysis, event tree analysis, accident sequence quantification and uncertainty analysis.
对两个片段核苷酸和氨基酸序列进行了同源性分析。
The homologous analysis of two fragments was also accomplished.
快速相关攻击是一种重要的序列密码分析方法。
Fast correlation attack is one of the important cryptanalysis method for stream ciphers.
本文中，我们分析了给定的股票时间序列。
布尔函数在序列密码的设计与分析中占有重要地位。
We must consider various factors in order to design good Boolean functions.
论文研究了序列模式挖掘在网络告警分析中的具体应用。
Applications of alarm sequential pattern mining are studied in this paper.
理论分析表明此密钥序列具有较高的线性复杂度和良好的密码学特性。
It is proved that series has high complexity and good cipher quality.
给出分析过程中所用的产生式序列。
运用非等间隔序列的灰色模型进行隧道沉降预测，并通过实例计算分析。
This paper applied non-equidistance grey model to forecast the tunnel settlement.
采用聚类分析方法对交通流时间序列进行分析可以发现典型的交通流变化模式。
By clustering of traffic flow time series, the typical traffic fluctuation patterns can be found.
采用聚类分析方法对交通流时间序列进行分析可以发现典型的交通流变化模式。
By clustering of traffic flow time series, the typical traffic fluctuation patterns can be found.
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