Transform methods for seismic data compression

Author

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

Author_Institution

Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA

Volume

29

Issue

3

fYear

1991

fDate

5/1/1991 12:00:00 AM

Firstpage

407

Lastpage

416

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 bit/s. 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

Keywords

data compression; encoding; geophysical prospecting; geophysical techniques; geophysics computing; seismology; transforms; 150 to 550 bit/s; DCT; DFT; Karhunen-Loeve transform; Walsh-Hadamard transform; discrete Fourier transform; discrete cosine transform; geophysics computing; measurement; seismic data compression; seismology; storage of seismic signals; technique; transform coding algorithms; transform method; Data compression; Discrete Fourier transforms; Discrete cosine transforms; Discrete transforms; Fourier transforms; Karhunen-Loeve transforms; Linear predictive coding; Prediction algorithms; Robustness; Transform coding;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.79431

Filename

79431