Title :
Lossless waveform compression: a case study
Author :
Honea, David M. ; Stearns, Samuel D.
Author_Institution :
Dept. of Electr. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
This paper has two purposes. The first is to describe a set of seismic data that has been placed in the public domain so that data compression schemes can be compared in a consistent manner, in terms of degree of compression as well as computing time. The second purpose is to provide a study of a two-stage predictive compression scheme using the standard data set. The study illustrates that the scheme can be made to approach the theoretical maximum-entropy compression limit, but also that a higher compression ratio generally requires more computing
Keywords :
data compression; entropy; linear predictive coding; seismology; bilevel encoding; compression ratio; computing time; data compression; linear predictor; lossless waveform compression; maximum-entropy compression limit; seismic data; standard data set; two-stage predictive compression; Background noise; Computer aided software engineering; Data compression; Data engineering; Frequency; Laboratories; Performance loss; Sampling methods; Satellites; Telemetry;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342360
