Title
Lossless Compression Of Seismic Signals Using Differentiation
Abbreviated Journal Title
IEEE Trans. Geosci. Remote Sensing
Keywords
Geochemistry & Geophysics; Engineering, Electrical & Electronic; Remote; Sensing; Imaging Science & Photographic Technology
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.
Journal Title
Ieee Transactions on Geoscience and Remote Sensing
Volume
34
Issue/Number
1
Publication Date
1-1-1996
Document Type
Article
DOI Link
Language
English
First Page
52
Last Page
56
WOS Identifier
ISSN
0196-2892
Recommended Citation
"Lossless Compression Of Seismic Signals Using Differentiation" (1996). Faculty Bibliography 1990s. 1702.
https://stars.library.ucf.edu/facultybib1990/1702
Comments
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