Optimization method for filtering quasi-harmonic disturbances while preserving the background noise for studying natural microseisms |
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| Authors: | V A Ryzhov |
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| Institution: | (1) Kazan State University, Kazan, Russia |
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| Abstract: | A method is presented for filtering harmonic components of the signal while preserving background broadband noise. The method is widely applied for filtering quasi-harmonic disturbances in the technique of low-frequency seismic sensing (LSS), a useful signal that is background microseismic noise. The algorithm is based on subtracting the model’s harmonic signal from the real signal by selecting the signal parameters, i.e., frequency, phase, and amplitude. To do this, the parameters of the model harmonic signal, at which the energy of the difference signal is minimal, are estimated using the optimization algorithms adapted for the goal function. The proposed method successfully solves the problem of filtering the background microseism noise out of harmonic disturbances. |
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| Keywords: | microseisms low-frequency seismic sensing filtering optimization quasi-harmonic harmonic noise narrow-band disturbance |
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