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1 results

  • 4 - Sampling Theorem for Seismic Data

  • from Part II - Deterministic Digital Signal Processing for Seismic Data
  • Wail A. Mousa, King Fahd University of Petroleum and Minerals, Saudi Arabia
  • Book:
    Advanced Digital Signal Processing of Seismic Data
    Published online:
    24 December 2019
    Print publication:
    16 January 2020, pp 193-220

  • Summary

    This chapter presents sampling theorem for seismic data, including Shannon sampling theory for sampling continuous time (space) signals. Also, we explain the aliasing effects due to under-sampling of seismic data sets. Moreover, the theory of compressive sensing (CS) is currently considered the state-of-the-art theory of DSP, with many applications related to signal and image compression, signal recovery, and many other applications. CS is currently used for various seismic data processing problems. Hence, in this chapter we introduce CS principles and provide a few seismic data processing-related applications.