有一项web设计趋势已经流行一段时间了，但似乎势头依然不减，这便是使用大背景图像。
A trend in web design that has been popular for a while, and still seems to be gaining momentum, is the use of big background images.
介绍了高次差法求解时间序列中趋势项的基本原理与方法。
The paper introduces the principle and method of resolving time-series tendency part with higher difference method.
非线性，非平稳的时间序列经过经验模分解，可以得到一组内模函数和一个基本的趋势项。
Nonlinear and nonstationary time series are decomposed into a series of instrinsic mode functions and a residual trend item by the empirical mode decomposition (EMD).
传统的金融时间序列认为趋势项是确定性的函数，本文对此提出一种新的模型，并且设计了分段最小二乘方法和两个算法提取出趋势路径。
For this problem, this paper develop a new model and design the piece wise least square method and two algorithms to strip off the trend.
研究数据流上的历史数据的变化趋势，并预测数据流在未来时间窗口内的可能值是数据流挖掘的一项重要工作。
It is also an important work to study the varying tendency of the historic stream data ina data stream and predict the possible values of the stream data in the future time window.
研究数据流上的历史数据的变化趋势，并预测数据流在未来时间窗口内的可能值是数据流挖掘的一项重要工作。
It is also an important work to study the varying tendency of the historic stream data ina data stream and predict the possible values of the stream data in the future time window.
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