In this paper, the time series spectral analysis is applied to accurate measurement of the number of edges on cylinder surface.
本文用时间序列谱分析的方法对圆柱面的棱数进行精确判定。
Using the methods of time series spectral analysis and Kalman filter, this article discussed the additive problems of two stochastic processes, mainly Auto Regression Moving Average (ARMA) processes.
本文利用时间序列谱分析和卡尔曼滤波的方法讨论了两个随机过程，主要是自回归滑动平均(ARMA)过程，的叠加问题。
Objective The power spectral density functions of outpatient flow are calculated in order to study the spectral characteristics of the given time series.
目的以门诊量资料为例，计算功率谱密度函数，研究时间序列信号的频率域特征。
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