Transform methods for seismic data compression

Andreas Spanias, Stefan B. Jonsson, Samuel D. Stearns

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

The authors consider the development and evaluation of transform coding algorithms for the storage of seismic signals. Transform coding algorithms are developed using the discrete Fourier transform (DFT), the discrete cosine transform (DCT), the Walsh-Hadamard transform (WHT), and the Karhunen-Loeve transform (KLT). These are evaluated and compared to a linear predictive coding algorithm for data rates ranging from 150 to 550. The results reveal that sinusoidal transforms are well-suited for robust, low-rate seismic signal representation. In particular, it is shown that a DCT coding scheme reproduces faithfully the seismic waveform at approximately one-third of the original rate. The error introduced by the DCT coding scheme in estimating the body wave magnitude is negligible.

Original languageEnglish (US)
Pages (from-to)407-416
Number of pages10
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume29
Issue number3
DOIs
StatePublished - May 1991

Fingerprint

data compression
Discrete cosine transforms
Data compression
seismic data
coding
transform
compression
discrete cosine transform
Walsh transforms
Hadamard transforms
Discrete Fourier transforms
waveforms
estimating
method
body wave
evaluation
Fourier transform

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Geochemistry and Petrology
  • Geophysics
  • Electrical and Electronic Engineering

Cite this

Transform methods for seismic data compression. / Spanias, Andreas; Jonsson, Stefan B.; Stearns, Samuel D.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 29, No. 3, 05.1991, p. 407-416.

Research output: Contribution to journalArticle

Spanias, Andreas ; Jonsson, Stefan B. ; Stearns, Samuel D. / Transform methods for seismic data compression. In: IEEE Transactions on Geoscience and Remote Sensing. 1991 ; Vol. 29, No. 3. pp. 407-416.
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