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In this paper, we present a fast and robust scheme of controlled source electromagnetic data processing. We specify in detail various types of noise that affect measurements and show how these noise components can be suppressed. We promote an improved algorithm to process noisy data. We demonstrate that our method can recover response functions from extremely noisy field data. The proposed software can be adapted to new data sets and noisy environments. We apply our processing method to field data from Kola Peninsula, Norilsk region and Pechora province (Russia).
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Pankratov et al. (2010) studied this question.
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