Title

Lossless compression of seismic signals using differentiation

Abstract

For some classes of signals, particularly those dominated by low frequency components, such as seismic data, first and higher order differences between adjacent signal samples are generally smaller compared with the signal samples. In this paper, evaluating the differencing approach for losslessly compressing several classes of seismic signals is given. Three different approaches employing derivatives are developed and applied. The performance of the techniques presented here and the adaptive linear predictor are evaluated and compared for the lossless compression of different seismic signal classes. The proposed differentiator approach yields comparable residual energy compared with that obtained employing the linear predictor technique. The two main advantages of the differentiation method are: 1) the coefficients are fixed integers which do not have to be encoded: and 2) greatly reduced computational complexity, relative to the existing algorithms. These advantages are particularly attractive for real time processing. They have been confirmed experimentally by compressing different seismic signals. Sample results including the compression ratio, i.e., the'ratio of the number of bits per sample without compression to those with compression using arithmetically encoded residues are also given. © 1996 IEEE.

Publication Date

12-1-1996

Publication Title

IEEE Transactions on Geoscience and Remote Sensing

Volume

34

Issue

1

Number of Pages

52-56

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/36.481892

Socpus ID

0029755783 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0029755783

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