AUDIO MAGNETOTELLURIC SIGNAL-NOISE IDENTIFICATION AND SEPARATION BASED ON MULTIFRACTAL SPECTRUM AND MATCHING PURSUIT

To avoid the blindness of the overall de-noising method and retain useful low frequency signals that are not over processed, we proposed a novel audio magnetotelluric (AMT) signal-noise identificat...

[1]  Gary D. Egbert,et al.  Robust multiple‐station magnetotelluric data processing , 1997 .

[2]  K. Vozoff,et al.  Robust M-estimation of magnetotelluric impedance tensors , 1989 .

[3]  Hansruedi Maurer,et al.  A goal-oriented adaptive finite-element approach for plane wave 3-D electromagnetic modelling , 2013 .

[4]  Wang Hong-liang,et al.  STUDY ON THE SEISMIC CHARACTERISTICS OF THE GAS HYDRATE SYSTEM IN THE NIGER DELTA , 2017 .

[5]  Xiao Xiao,et al.  Mathematical morphology filtering and noise suppression of magnetotelluric sounding data , 2012 .

[6]  R. Uthayakumar,et al.  MULTIFRACTAL-WAVELET BASED DENOISING IN THE CLASSIFICATION OF HEALTHY AND EPILEPTIC EEG SIGNALS , 2012 .

[7]  Jingtian Tang,et al.  Deep electrical structure and geological significance of Tongling ore district , 2013 .

[8]  V. S. Potylitsyn,et al.  Phase-induced polarization method based on processing noise signals of the natural electromagnetic field of the Earth , 2016 .

[9]  Hyun-Chul Kim,et al.  Constructing support vector machine ensemble , 2003, Pattern Recognit..

[10]  Lei Wang,et al.  Classification of clouds in satellite imagery using over-complete dictionary via sparse representation , 2014, Pattern Recognit. Lett..

[11]  G. Egbert,et al.  Robust estimation of geomagnetic transfer functions , 1986 .

[12]  Daniel Trad,et al.  Wavelet filtering of magnetotelluric data , 2000 .

[13]  Xiangyun Hu,et al.  An electrical conductivity model for fractal porous media , 2015 .

[14]  Nello Cristianini,et al.  Support vector machine classification and validation of cancer tissue samples using microarray expression data , 2000, Bioinform..

[15]  Ute Weckmann,et al.  Effective noise separation for magnetotelluric single site data processing using a frequency domain selection scheme , 2005 .

[16]  Jeferson de Souza,et al.  A fast MATLAB program to estimate the multifractal spectrum of multidimensional data: Application to fractures , 2011, Comput. Geosci..

[17]  John Clarke,et al.  Error analysis for remote reference magnetotellurics , 1979 .

[18]  Stéphane Mallat,et al.  Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..

[19]  Anoushiravan Farshidianfar,et al.  Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine , 2007 .

[20]  Cai Jin,et al.  SIGNAL-NOISE IDENTIFICATION OF MAGNETOTELLURIC SIGNALS USING FRACTAL-ENTROPY AND CLUSTERING ALGORITHM FOR TARGETED DE-NOISING , 2018 .

[21]  Gary D. Egbert,et al.  On the stability of magnetotelluric transfer function estimates and the reliability of their variances , 2001 .

[22]  Jingtian Tang,et al.  Localization of Multiple Underwater Objects With Gravity Field and Gravity Gradient Tensor , 2018, IEEE Geoscience and Remote Sensing Letters.

[23]  Xiangyun Hu,et al.  Electrical conductivity models in saturated porous media: A review , 2017 .

[24]  Na Wu,et al.  Quantitative fault analysis of roller bearings based on a novel matching pursuit method with a new step-impulse dictionary , 2016 .

[25]  Jingtian Tang,et al.  Near-source noise suppression of AMT by compressive sensing and mathematical morphology filtering , 2017, Applied Geophysics.

[26]  L. Cagniard.  Basic theory of the magneto-telluric method of geophysical prospecting , 1953 .

[27]  Jianwei Ma,et al.  Seismic data denoising based on learning-type overcomplete dictionaries , 2012, Applied Geophysics.