An enhanced correlation identification algorithm and its application on spread spectrum induced polarization data
نویسندگان
چکیده
Abstract. In spread spectrum induced polarization (SSIP) data processing, attenuation of background noise from the observed is essential step that improves signal-to-noise ratio (SNR) SSIP data. The time-domain spectral based on pseudorandom sequence (TSIP) algorithm has been proposed to improve SNR these However, signal processing in still a challenging problem. We propose an enhanced correlation identification (ECI) attenuate noise. this algorithm, cross-correlation matching method helpful for extraction useful components raw and suppression Then frequency-domain IP (FDIP) used extracting frequency response observation system. Experiments both synthetic real show ECI will not only suppress but also better preserve valid information display actual location shape adjacent high-resistivity anomalies, which can subsequent steps imaging.
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ژورنال
عنوان ژورنال: Nonlinear Processes in Geophysics
سال: 2021
ISSN: ['1607-7946', '1023-5809']
DOI: https://doi.org/10.5194/npg-28-247-2021