Volume 39 Issue 4
Apr.  2014
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Cui Jinling, Deng Ming, Jing Jian'en, Zhang Qisheng, Chen Kai, Wang Meng, 2014. A Signal-Noise Separation Method for Magnetotelluric Impedance Tensor Estimate Improvement. Earth Science, 39(4): 492-498. doi: 10.3799/dqkx.2014.047
Citation: Cui Jinling, Deng Ming, Jing Jian'en, Zhang Qisheng, Chen Kai, Wang Meng, 2014. A Signal-Noise Separation Method for Magnetotelluric Impedance Tensor Estimate Improvement. Earth Science, 39(4): 492-498. doi: 10.3799/dqkx.2014.047

A Signal-Noise Separation Method for Magnetotelluric Impedance Tensor Estimate Improvement

doi: 10.3799/dqkx.2014.047
  • Received Date: 2013-08-25
  • Publish Date: 2014-04-15
  • It is difficult to estimate precise magnetotelluric (MT) impedance tensor in high correlated noise areas. In order to approximate MT impedance tensor, we use remote sites which contain relatively lower correlated noise to compute separation tensor by using Robust least square method. The MT data in three sites which are contaminated by higher and lower correlated noises are processed using signal-noise separation method. The results show that it can separate higher correlated noise and get much smoother apparent resistivity and phase curves than those obtained by using Robust least square method and remote reference method. It is concluded that signal-noise separation method is efficient for much more precise MT impedance tensor.

     

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