from Part II - Deterministic Digital Signal Processing for Seismic Data
Published online by Cambridge University Press: 24 December 2019
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.
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