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A novel signal denoising method that combines variational mode decomposition (VMD) and detrended fluctuation analysis (DFA), named DFA–VMD, is proposed in this paper. VMD is a recently introduced technique for adaptive signal decomposition, which is theoretically well founded and more robust to sampling and noise compared with empirical mode decomposition (EMD). The noisy signal is first broken down...
One of tasks for how to reduce fiber optic gyroscope (FOG) random noise and drift is potentially useful for improving the precision of inertial navigation system (INS). In this paper, a novel signal denoising method is proposed that combines detrended fluctuation analysis (DFA) and empirical mode decomposition (EMD), named DFA-EMD. The noisy signal is first adaptively broken down into oscillatory...
This paper introduces a novel EMD interval thresholding (EMD-IT) denoising, where relevant modes are selected using a l 2 -norm measure between the probability density function (pdf) of the input and that of each mode, thresholds are estimated by the characteristics of fractional Gaussian noise (fGn) through EMD. To solve the problem of more relevant modes included when the signal is corrupted...
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