Title :
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
fDate :
5/1/1991 12:00:00 AM
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;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
