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Proceedings Paper

Techniques for geophysical data compression
Author(s): Samuel D. Stearns; R. Lynn Kirlin; Jianrong Fan
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Paper Abstract

Lossless compression is never as profitable, in terms of compression ratio, as lossy compression of the same data. However, lossless techniques that produce significant compression of geophysical waveform data are possible. A two-stage technique for lossless compression of geophysical waveform data is described. The first and most important stage is a form of linear prediction that allows exact recovery of the original waveform data from the predictor residue sequence. The second stage is an encoder of the first-stage residue sequence which approximately maximizes the entropy of the latter, while allowing exact recovery during decompression. We review the overall two-stage technique, which has been described previously, and concentrate in this paper on some recent performance examples and results using the technique. To obtain the latter, a seismic waveform data base is introduced and made available. We conclude that lossless compression of seismic data can save significant amounts of storage in seismic data bases and archives, and significant amounts of bandwidth in real- time communication of instrumentation data.

Paper Details

Date Published: 31 August 1993
PDF: 9 pages
Proc. SPIE 1941, Ground Sensing, (31 August 1993); doi: 10.1117/12.154689
Show Author Affiliations
Samuel D. Stearns, Sandia National Labs. (United States)
R. Lynn Kirlin, Univ. of Victoria (Canada)
Jianrong Fan, Univ. of Victoria (Canada)


Published in SPIE Proceedings Vol. 1941:
Ground Sensing
Hatem N. Nasr, Editor(s)

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