Adaptive modulation interval filtering algorithm based on empirical mode decomposition

[1]  Qian Song,et al.  Denoising signals for photoacoustic imaging in frequency domain based on empirical mode decomposition , 2018 .

[2]  June Wei,et al.  The dynamic hydropower troubleshooting information based on EMD multi-scale feature entropy extraction , 2017, Int. J. Mob. Commun..

[3]  Yang Song,et al.  Ensemble EMD-based signal denoising using modified interval thresholding , 2017, IET Signal Process..

[4]  Wahiba Mohguen,et al.  Empirical Mode Decomposition Based Denoising by Customized Thresholding , 2017 .

[5]  Yi Shen,et al.  Noise level estimation method with application to EMD-based signal denoising , 2016 .

[6]  Jing Wen,et al.  Adaptive noise cancellation based on EMD in water-supply pipeline leak detection , 2016 .

[7]  Yung-Hung Wang,et al.  On the computational complexity of the empirical mode decomposition algorithm , 2014 .

[8]  Patrick Flandrin,et al.  Emd of Gaussian White Noise: Effects of Signal Length and Sifting Number on the Statistical Properties of Intrinsic Mode Functions , 2009, Adv. Data Sci. Adapt. Anal..

[9]  Li Lin,et al.  Signal feature extraction based on an improved EMD method , 2009 .

[10]  Steve McLaughlin,et al.  Development of EMD-Based Denoising Methods Inspired by Wavelet Thresholding , 2009, IEEE Transactions on Signal Processing.

[11]  N. Huang,et al.  A study of the characteristics of white noise using the empirical mode decomposition method , 2004, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[12]  Gabriel Rilling,et al.  Empirical mode decomposition as a filter bank , 2004, IEEE Signal Processing Letters.

[13]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[14]  Prasanna Kumar Sahu,et al.  Denoising of Electrocardiogram (ECG) signal by using empirical mode decomposition (EMD) with non-local mean (NLM) technique , 2018 .

[15]  E. Hari Krishna,et al.  On the use of EMD based adaptive filtering for OFDM channel estimation , 2018 .

[16]  蒋立辉 Jiang Li-hui,et al.  Denoising method using empirical mode decomposition with switchable interval threshold for lidar signals , 2014 .

[17]  Li Yan-Xia Adaptive filtering method in the empirical mode decomposition domain , 2012 .

[18]  DU Xiu-li,et al.  A Study of Wavelet Threshold Denoising Based on Empirical Mode Decomposition(EMD) , 2007 .