Title

Quantitative performance evaluation of the lossless compression approach using pole-zero modeling

Authors

Authors

Y. W. Nijim; S. D. Stearns;W. B. Mikhael

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

IEEE Trans. Geosci. Remote Sensing

Keywords

arithmetic coding; data compression; lossless compression; signal; modeling; FREQUENCY-DOMAIN; LEAST-SQUARE; SIGNALS; Geochemistry & Geophysics; Engineering, Electrical & Electronic; Remote; Sensing; Imaging Science & Photographic Technology

Abstract

A technique for lossless compression of seismic signals is proposed. The algorithm employed is based on the equation-error structure, which approximates the signal by minimizing the error in the least-square sense and estimates the transfer characteristic as a rational function or equivalently, as an autoregressive moving average process. The algorithm is implemented in the frequency domain. The performance of the proposed technique is compared with the lossless linear predictor and the differentiator approaches for compressing seismic signals, The residual sequence of these schemes is coded using arithmetic coding. The suggested approach yields compression measures (in terms of bits per sample) lower than the lossless linear predictor and the differentiator for compressing different classes of seismic signals.

Journal Title

Ieee Transactions on Geoscience and Remote Sensing

Volume

38

Issue/Number

1

Publication Date

1-1-2000

Document Type

Article

Language

English

First Page

39

Last Page

43

WOS Identifier

WOS:000085300800004

ISSN

0196-2892

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