Abstract
Raw seismic signals contain noise which corrupts the real seismic data. To overcome this type of interference in the seismic data, preprocessing is done using the FIR bandpass filter. A new method is proposed in this paper for nonparametric estimation of seismic signals. Minimum variance spectral estimation is an eminent spectrum analysis process that offers a high-frequency resolution in comparison with remaining nonparametric methods. Here, an assured band of frequencies is allowed for processing from supplied data to nullify the unwanted signals. Minimum variance algorithm is used to find out the spectrum of the seismic signal and to improve the resolution of the signals.
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Basha Saheb, M., Neeraj Kumar, U., Koteswara Rao, S., Lakshmi Bharathi, V. (2018). Processing of Seismic Signal Using Minimum Variance Algorithm. In: Anguera, J., Satapathy, S., Bhateja, V., Sunitha, K. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 471. Springer, Singapore. https://doi.org/10.1007/978-981-10-7329-8_17
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DOI: https://doi.org/10.1007/978-981-10-7329-8_17
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