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Information Journal Paper

Title

COMPLEX PREDICTION FILTER IN F-X DOMAIN

Pages

  315-327

Abstract

 The F-X prediction filter is a technique to suppress random noise from seismic data in the frequency-space domain. For a given frequency, the coherent signal is predictable and random noise is unpredictable in the F-X domain. We then use the Complex WIENER FILTER theory to obtain a least-square approximation of the desired signal. The method has been tested on a noisy stacked section. The result was acceptable without any noticeable artifact (lateral mixing). The method also applied on a synthetic shot record to eliminate air waves (coherent noise). This required application of an appropriate linear moveout on data before using F-X prediction filter. The necessary codes were written by authors in MATLAB environment.

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  • Cite

    APA: Copy

    ARJMANDPOUR, N., & SIAHKOUHI, H.R.. (2005). COMPLEX PREDICTION FILTER IN F-X DOMAIN. JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT), 31(1), 315-327. SID. https://sid.ir/paper/2123/en

    Vancouver: Copy

    ARJMANDPOUR N., SIAHKOUHI H.R.. COMPLEX PREDICTION FILTER IN F-X DOMAIN. JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT)[Internet]. 2005;31(1):315-327. Available from: https://sid.ir/paper/2123/en

    IEEE: Copy

    N. ARJMANDPOUR, and H.R. SIAHKOUHI, “COMPLEX PREDICTION FILTER IN F-X DOMAIN,” JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT), vol. 31, no. 1, pp. 315–327, 2005, [Online]. Available: https://sid.ir/paper/2123/en

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