Analysis of lossless data compression using multirate filter banks

Author

Haines, Jonathan W. ; Etter, Delores M.

Author_Institution

Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA

Volume

2

fYear

1994

fDate

3-5 Aug 1994

Firstpage

935

Abstract

This paper presents a comparison of the results of performing lossless data compression on individual signals with the results of performing lossless data compression on the signals generated by separating the individual signals into multiple frequency bands. The lossless data compression on each signal or on each signal subband is performed using linear predictive coding combined with arithmetic coding of the residual signals. The comparison includes both computer time required and resulting compression ratios, and is accompanied by an energy distribution analysis of the eight seismic signals used in the analysis

Keywords

arithmetic codes; band-pass filters; data compression; filtering theory; geophysical signal processing; linear predictive coding; seismology; arithmetic coding; energy distribution analysis; linear predictive coding; lossless data compression; multiple frequency bands; multirate filter banks; residual signals; seismic signals; signal subbands; Arithmetic; Channel bank filters; Contracts; Data analysis; Data compression; Distributed computing; Filter bank; Finite impulse response filter; Frequency; Iris; Linear predictive coding; Signal analysis; Signal generators; Signal synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on

Conference_Location

Lafayette, LA

Print_ISBN

0-7803-2428-5

Type

conf

DOI

10.1109/MWSCAS.1994.518965

Filename

518965