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A new electrocardiogram (ECG) signal noise reduction method is presented. The core of this method is Hilbert-Huang transform (HHT) and threshold denoising, divide intrinsic mode functions (IMF) that decomposed using empirical mode decomposition (EMD) into the noise dominative layers and useful signal dominative layers. Threshold denoising proposed by Donoho et al. is adapted for the noise dominative...
Effective classification of a rolling bearing fault location and especially its degree of performance degradation provides an important basis for appropriate fault judgment and processing. Two methods are introduced to extract features of the rolling bearing vibration signal—one combining empirical mode decomposition (EMD) with the autoregressive model, whose model parameters and variances of the...
A new method of heart rate variability signal analysis based on Hilbert-Huang Transform (HHT) is proposed. Use EMD (Empirical Mode Decomposition) method to decompose signal into a series of IMF (Intrinsic Mode Function). By means of the given boundary conditions and EMD decomposition termination conditions, calculate and analyze instantaneous frequency and instantaneous amplitude of each IMF using...
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