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Signal To Noise Ratio Enhancement By Adaptive Filtering
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 6th International Congress of the Brazilian Geophysical Society, Aug 1999, cp-215-00369
Abstract
An adaptive filtering techniquewas implemented in order to remove random noise from seismic data. The operator<br>was calculated in the frequency-offset domain (FX), and it could enhance the lateral coherence of seismic events.<br>For each frequency an optimum Wiener filter was designed following the classical approach using the complete<br>seismic section. After that, an adaptive algorithm was implemented to actualize the filter coefficients in order to<br>reduce the output error. This automatic actualization avoided us the use of predetermined design windows. The<br>adaptive filter was based on a generalized expression of the least-mean square (LMS) filter dealing with complex<br>frequency input signal. The performance was evaluated on synthetic seismic data contaminated with additive<br>gaussian noise.