Uncertainty Effects of Data Compression in Measurement Applications

Author

Cacciatore, V. ; Carullo, A. ; Parvis, M. ; Vallan, A.

Author_Institution

Dipt. di Elettronica, Politecnico di Torino

fYear

2006

fDate

24-27 April 2006

Firstpage

1462

Lastpage

1467

Abstract

Data compression algorithms are widely employed to reduce the amount of data in order to save storage space and to speed-up the data transfer. Lossy algorithms provides high compression ratio but are designed to provide good results mainly when multimedia data are processed. Aim of this paper is to analyze the behavior of commercial lossy and lossless algorithms in the presence of measurement data. The paper also describes a lossy algorithm that has been designed to provide high compression ratios with a known uncertainty level

Keywords

data compression; measurement uncertainty; signal reconstruction; data compression; lossless algorithms; lossy algorithms; measurement uncertainty; multimedia data; signal processing; signal reconstruction; signal sampling; uncertainty effects; Algorithm design and analysis; Compression algorithms; Data compression; Distributed computing; Frequency; Image coding; Loss measurement; Propagation losses; Signal processing algorithms; Signal sampling; Data compression; signal processing; signal sampling/reconstruction; uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE

Conference_Location

Sorrento

ISSN

1091-5281

Print_ISBN

0-7803-9359-7

Electronic_ISBN

1091-5281

Type

conf

DOI

10.1109/IMTC.2006.328639

Filename

4124587