COMPACT EMPIRICAL MODE DECOMPOSITION: AN ALGORITHM TO REDUCE MODE MIXING, END EFFECT, AND DETREND UNCERTAINTY
نویسندگان
چکیده
منابع مشابه
Compact Empirical Mode Decomposition: an Algorithm to Reduce Mode Mixing, End Effect, and Detrend Uncertainty
A compact empirical mode decomposition (CEMD) is presented to reduce mode mixing, end effect, and detrend uncertainty in analysis of time series (with N data points). This new approach consists of two parts: (a) highest-frequency sampling (HFS) to generate pseudo extrema for effective identification of upper and lower envelopes, and (b) a set of 2N algebraic equations for determining the maximu...
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The empirical mode decomposition (EMD) has been developed by N.E. Huang et al. in 1998 as an iterative method to decompose a nonlinear and nonstationary univariate function additively into multiscale components. These components called intrinsic mode functions (IMFs) are constructed such that they are approximately orthogonal to each other with respect to the L2 inner product. Moreover, the com...
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ژورنال
عنوان ژورنال: Advances in Adaptive Data Analysis
سال: 2012
ISSN: 1793-5369,1793-7175
DOI: 10.1142/s1793536912500173