Analysis of measurement signals compression algorithm properties in the time domain

Author

Gawedzki, W.

Author_Institution

Dept. of Meas. & Instrum., Univ. of Min. & Metall., Cracow, Poland

Volume

2

fYear

2001

fDate

2001

Firstpage

725

Abstract

A lossless and inertialess compression algorithm based on the analysis of measurement signals in time domain is presented in the paper. The operation performed by the algorithm can be described as a non-uniform sampling where the sampling period is determined on the basis of the signal derivative analysis. In particular, the algorithm shows good efficiency when applied to the slowly-variable quasi-stationary signals with short, irregularly occurring, highly-variable components, and can be applied to continuous and long-term logging of measurement data

Keywords

data compression; monitoring; signal sampling; time-domain analysis; highly-variable components; inertialess compression algorithm; long-term logging; lossless compression algorithm; measurement signals; measurement signals compression algorithm; nonuniform sampling; sampling period; signal derivative analysis; slowly-variable quasi-stationary signals; time domain; Algorithm design and analysis; Atmospheric measurements; Compression algorithms; Electric variables measurement; Loss measurement; Pollution measurement; Sampling methods; Signal analysis; Time domain analysis; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE

Conference_Location

Budapest

ISSN

1091-5281

Print_ISBN

0-7803-6646-8

Type

conf

DOI

10.1109/IMTC.2001.928174

Filename

928174