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Lossless compression of seismic data

SEG Technical Program Expanded Abstracts 1996, 1996
A lossless method for seismic data compression has been developed. The method uses the idea of converting a signal data compression problem into a text compression problem. The conversion is based on data slicing, a reformatting process where the binary representation of a data set is rearranged, effectively separating compressible from uncompressible ...
Jeričević, Željko, Sitton, Gary A.
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Lossless Compression of Cytometric Data

Cytometry Part A, 2019
AbstractNowadays, most cytometrists apply lossless compression by storing their FCS files in ZIP archives. Unfortunately, ZIP only achieves modest space savings in cytometric data, due to DEFLATE being used as the underlying lossless compression algorithm (LCA).
Anne E. Bras   +1 more
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Lossless data compression techniques

Proceedings of WESCON '94, 2002
Data compression, all of a sudden in the 1990s, has become a huge market. Virtually all operating systems now contain some data compression utility. Compression software packages or plug-in boards can more than double storage capacity in PC disc drives. The data compression method in the V.42bis modem standard, used by more than 50 modem manufacturers,
K. Holtz, E. Holtz
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Lossless compression of wind plant data

2013 IEEE Power & Energy Society General Meeting, 2012
Substantial quantities of wind plant data are being accumulated as interest and investment in renewable energy grows. These data sets can approach tens of terabytes in size, making their management, storage, manipulation, and transmission burdensome. Lossless compression of the data sets can mitigate these challenges without sacrificing accuracy.
H. Louie, A. Miguel
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Lossless Data Compression

2018
As mentioned in Chap. 1, data compression describes methods of representing a source by a code whose average codeword length (or code rate) is acceptably small. The representation can be lossless (or asymptotically lossless) where the reconstructed source is identical (or identical with vanishing error probability) to the original source; or lossy ...
Fady Alajaji, Po-Ning Chen
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Lossless compression of seismic data

Journal of the Franklin Institute, 2006
Data compression techniques are commonly used to achieve a low bit rate in the digital representation of signals for efficient processing, transmission, and storage. In this paper, a new technique for lossless compression of seismic data is introduced. The technique consists of two stages.
Abdulaziz O. Abanmi   +2 more
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Lossless compression of ionogram data

Proceedings of 13th International Conference on Digital Signal Processing, 2002
A method for lossless compression of binary data is presented. To remove the redundancies among the data points, a linear predictive scheme is proposed and the coefficients are optimised in the sense of minimum mean square error. An arithmetic coder is then used to code the prediction errors.
null Hua Ye   +2 more
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NEAR-LOSSLESS COMPRESSION OF REMOTE-SENSING DATA

2003
This paper describes data compression algorithms capable to preserve the scientific quality of remote-sensing data, yet allowing a considerable bandwidth reduction to be achieved. Unlike lossless techniques, by which a moderate compression ratio (CR) is attainable, due to the intrinsic noisiness of the data, and conventional lossy techniques, in which ...
Bruno Aiazzi   +3 more
openaire   +4 more sources

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