Transform methods for seismic data compression

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

Research output: Contribution to journalArticlepeer-review

69 Scopus citations


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
Issue number3
StatePublished - 1991

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • General Earth and Planetary Sciences


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