Title :
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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328639
