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Empirical mode decomposition is a nonparametric adaptive tool that decomposes signals into a set of zero-mean modes called intrinsic mode functions (IMFs) that can be used to denoise a signal by selecting the relevant (noise-free) modes. In this paper, the statistical properties of IMFs, produced by a range of signal distributions, are examined. Insight from the statistical analysis is used in a null...
The Bivariate Empirical Mode Decomposition (BEMD) is an extension of Empirical Mode Decomposition (EMD) algorithm. In its classical formulation, the EMD can only be applied to real-valued time series. In this paper, the BEMD algorithm is proposed as an alternative to estimate the glottal source from the speech signal. The bivariate empirical mode decomposition decomposes the complex log spectrum into...
The paper proposes to apply Empirical Mode Decomposition (EMD) to network traffic signal. Then the corresponding intrinsic mode functions (IMFs) are obtained to calculate their Hurst index based on which the influence to the IMF Hurst after DDoS attack was analyzed. Finally, it makes a judgment on whether a DDoS attack happened or not by solving the IMF Hurst index of the unsure sequence. Experimental...
In the paper, the proportions of the sea clutter Intrinsic Mode Functions (ab. IMFs) energy to the whole signal energy and the influence of the target on the proportions are discussed. It is found that the latter low frequency IMFs are weaker when no target is hit, but they are stronger when the target is hit, and the proportions of their energy to the whole signal energy become larger, which could...
At present, most of the studies on the relationship between El Nino Southern Oscillation and agricultural futures focus on perceptual and directly data analysis. This article uses EMD algorithm on endpoints processed data to decompose wheat futures price into seven Intrinsic Mode Function and one Residue. Then do symbolic clustering combined with SSVS method and denoised ENSO index. The results not...
The information on angular motion of projectile can be expressed by the Amplitude Modulation (AM) index of radar echo. In order to separate the information of slow-mode angular motion, a method based on Empirical Mode Decomposition (EMD) is proposed. Three issues are discussed in this article. First, the angular motion of projectile is approximated as a fast-mode circle superposing over that of the...
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