In this paper, an estimation-subtraction technique based on Wiener filtering of attenuating two low frequency high amplitude noises such as ground roll in land and swell noise in marine environments are performed. The Wiener filter design is always realized between an actual output and a desired output in the manner of least squares. Thus, to design Wiener estimation filter, an imperfect model of the noise type is obtained from the data itself by application of a suitable low-pass filter based on the frequency characteristic the noise. Then I used the filter coefficients to estimate the real noise from the data. Finally, the noise estimate has been adaptively subtracted from the data in order to perform attenuation process. The applications of the proposed method to both land and marine datasets show encouraging results and also show that these kinds of filters are effective in preserving available signal band while greatly attenuating these high amplitude noises which mostly damage the reflection signals.


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