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NEW INSTANTANEOUS FREQUENCY DEFINITION FOR IMF AND ITS APPLICATION IN FINANCIAL DATA ANALYSIS

机译:IMF的新瞬时频率定义及其在财务数据分析中的应用

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The empirical mode decomposition (EMD) is a useful algorithm for analyzing nonlinear and non-stationary data. The algorithm, depending on certain splines and a threshold previously set, results in a finite number of basic functions called intrinsic mode functions (IMFs). The present paper proposes a method to compute the instantaneous frequency (IF) of IMFs. Based on the defined IF we can formulate time-frequency distributions. An illustrative example is given based on the stock market data of Hong Kong Hang Seng Index.
机译:经验模式分解(EMD)是用于分析非线性和非静止数据的有用算法。算法,根据先前设置的某些样条和阈值,导致有限数量的基本功能,称为内部模式功能(IMF)。本文提出了一种计算IMFS瞬时频率(IF)的方法。基于所定义的,如果我们可以制定时间频率分布。基于香港恒生指数的股票市场数据给出了一个说明性榜样。

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