Title :
Lossless data compression in real time
Author :
Livingston, F. ; Magotra, N. ; McCoy, W. ; Stearns, S.
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
fDate :
31 Oct-2 Nov 1994
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
Keywords :
adaptive signal processing; arithmetic codes; data compression; digital signal processing chips; geophysical signal processing; image processing; least squares approximations; real-time systems; recursive estimation; seismology; speech processing; TMS320C3x card; adaptive lattice structure; arithmetic coding; image data; real time lossless data compression algorithm; recursive least squares; research; research instrumentation; seismic data; speech compression; Compression algorithms; Data compression; Encoding; Equations; Laboratories; Lattices; Least squares methods; Propagation losses; Speech; Testing;
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-6405-3
DOI :
10.1109/ACSSC.1994.471658