EE06 - Unicogse 关键词：趋势周期分解, HP滤波, 状态空间模型 [gap=623]Key words：time series trend decomposition, HP filter, state space model.
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EE06 - Unicogse 关键词：趋势周期分解, HP滤波, 状态空间模型 [gap=2160]Key words: Game Engine; 3D Game; Game Scene
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EE06 - Unicogse 关键词：趋势周期分解 HP 滤波 状态空间模型 [gap=3179]Keyword: computational verb rules, adaptive Filter, adaptive filtering algorithm with variable step size, LMS alg..
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本文采用一种累加模型将复杂大规模网络流量分解成趋势项、周期项和随机项。
In this paper, according to the characteristics of non linear network traffic, traffic behaviors are decomposed into trend items, period items, and random items by an accumulation decomposition model.
文章考虑网络流量非线性的特点，通过不同的数学模型将流量时间序列分解成趋势成分、周期成分、突变成分和随机成分。
According to the character of non linear network traffic, the traffic time series is decomposed into trend component, period component, mutation component and random component.
首先利用EMD方法对NYMEX市场的原油期货价格进行分解，得到一系列平稳且具有较强周期性的本征模函数(IMF)和一个趋势项。
First we employ EMD method to decompose the crude oil prices in NYMEX, and obtain a series of intrinsic mode function (IMF), which are stationary and of strong periodicity, and a trend term.
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