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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 1247-1250
F. Livingston , Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
N. Magotra , Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
W. McCoy , Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
S. Stearns , Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
ABSTRACT
This paper describes the research effort currently in progress to develop lossless data compression algorithms for seismic, speech, and image data sets. For many applications, such as transmitting and archiving research data bases, using lossy compression algorithms is not advisable. In situations where critical data (e.g. research instrumentation) is to be transmitted or archived, a real time lossless data compression algorithm is desirable. It presents a version of the algorithm using a recursive least squares a priori adaptive lattice structure followed by an arithmetic coding stage. The real time effectiveness of this algorithm is being verified by coding the technique to run on a TMS320C3x card custom developed for our applications.<>
INDEX TERMS
data compression, arithmetic codes, adaptive signal processing, digital signal processing chips, geophysical signal processing, seismology, speech processing, image processing, real-time systems, least squares approximations, recursive estimation
CITATION

F. Livingston, N. Magotra, W. McCoy and S. Stearns, "Lossless data compression in real time," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 1247-1250.
doi:10.1109/ACSSC.1994.471658
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