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- This paper studies algebraic modeling of discrete time series. 摘要主要研究离散时间序列上的代数模型。
- Based on the data mining of the time series,generally discretizes time series,then clusters different sub-pattern. 基于时间序列的数据挖掘时,一般需要对时间序列离散化,再聚类成不同的子模式。
- DISCRETE TIME SERIES REPAIRABLE SYSTEM OPERATING UNDER CHANGING ENVIRONMENT 可变环境下的离散时间串联可修系统
- An Improved Algorithm of Discrete Time Series Multifractal Analysis and Its Application 一种时间序列多重分形分析的改进方法及其应用
- discrete time series 离散时间数列
- This is called a deseasonalizing time series. 这叫调和时间数列。
- Time Series Analysis Hamilton J.D. 时间序列分析。
- Introduction the Fourier series, Convolution,Laplace transform, Z-transform, Discrete time and fast Fourier transform, Adaptive filter,digital filter. 介绍傅立叶,拉式,Z转换之数学运算,同时应用于离散与计算快速傅立叶转换,而此数学运算使用时数位滤波器之应用
- Predicts the future values for a time series. 预测一个时序的未来值。
- Results A new mode of time series is established. 结果建立了一个新的时间序列模型。
- Discrete time survival analysis was used to estimate depressive events risk. 生存分离率用于分析抑郁症发病风险。
- Discrete time signal(sinusoid) must satisfy N*Ts = qT to be perioic . 一个连续的正弦周期信号，抽样产生的离散信号不一定还是周期信号。
- It supports continuous time, discrete time, and line and unline system. 所以它特别适用于对电子系统进行计算机仿真。
- Tab to display the tree view of the time series model. 选项卡可以显示时序模型的树视图。
- Returns predicted future or historical values for time series data. 返回时序数据的将来或历史的预测值。
- Time series data set comes with a temporal ordering. 时间序列数据集伴随着一个时间上的排序。
- The data is first decomposed using the dyadic discrete time wavelet transform with the ＂fitrous＂ algorithm. 该文引入小波变换模极大值重建方法去除信号中的运动伪迹。
- The method can be used for time series pretreatment and the AR analyzing. 变换方法可用于有限长度时间序列的预处理。
- The Newton-Raphson iteration method is applied to solve the thermal equilibrium equation on a series of discrete times,whereby the variation of room temperature is obtained. 计算了慢速、中速、快速、超快速四种火灾增长速率下,受火室气相温度及烟气热损失随时间的变化。
- Considering the ruin problems under the discrete time insurance risk model with interest, we proof the surplus is Markov chain. 本文讨论了固定利率下的离散风险模型,首先证明了资产盈余构成一个齐次马尔科夫链,并给出了其转移概率。
