Design and Implementation of Seismic Data Digital Filter

Abstract:

In order to improve the quality and precision of seismic data, taking out or suppressing interference wave consisting in the earthquake wave will be one important link in the digital processing of seismic data .The fast Fournier transformation resolves big points N into certain dot’s DFT combinations .And then breaking a large number of multiply operations to add operations and a small quality of multiply operations, thus the computation speed of the Discrete Fourier Transformation (DFT) will be enhanced greatly. The widespread uses of FFT make it to be a powerful tool in digital signal processing. The present paper will introduce the quite comprehensive narration of the principle of filter, the characteristic of fast Fournier transformation algorithm principle as well as the realization.

• Periodical: Applied Mechanics and Materials (Volumes 300-301)
• Pages: 1669-1672
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.300-301.1669
• Online since: February 2013
• Authors: Yong Li
• Keywords: FFT, Filter, Seismic Data

References

[1] Cooley J W, Tukey J W. An algorithm for the machine calculation of complex Fourier series. Mathematics of Computation, 1965, 19 (90): 296-301.

DOI: 10.1090/s0025-5718-1965-0178586-1

[2] Rawski M, Tomaszewicz P, Selvaraj H, et al. Efficient implementation of digital filters with use of advanced synthesis methods targeted FPGA architectures. 8th Euromicro conference on Digital System Design. Porto, Portugal. (2005).

DOI: 10.1109/dsd.2005.81

[3] Honggui D, Shengwei G. Symmetry accelerating real sequence FFT method and its FPGA implementation. Application Research of Computers, 2009, (01).

[4] Zhengchun L, Jun hua Z. Seismic Data Processing Method, University of Petroleum Press. (2004).