其结果说明：两者存在相应的周期项；
The results show that both the rate and the at Eamospheric circulation have analogous periods.
根据叠合模型可进一步分解出周期项和随机项。
Then, the periodic term and stochastic term are resolved based on additive model.
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.
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