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Abstract

Summary

One of the recent approaches regarding on building adaptive wavelets known as Empirical Wavelet Transform (EWT) which extract various signal modes by designing suitable adaptive wavelet filter bank for signal processing. EWT is self-adapting based on the input data itself and without using prescribe basis function. In this paper, a filter is designed based on EWT method for coherent noise attenuation in marine seismic data. EWT modes for each trace is calculated and the ones containing the noise energy are selected. Next, the selected modes are zeroed out and the remaining modes are used in reconstruction of the data. Comparison of the amplitude spectra before and after filtering application shows that EWT method provides high precision and efficiency for noise attenuation.

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/content/papers/10.3997/2214-4609.201803285
2018-12-03
2024-04-28

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201803285
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Application Of Empirical Wavelet Transform In Coherent Noise Attenuation In High Frequency Marine Seismic Data
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201803285
/content/papers/10.3997/2214-4609.201803285
/content/papers/10.3997/2214-4609.201803285
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