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Lossless Compression of Vibration Signals on an Embedded Device Using a TDE Based Predictor

Authorized Users Only
2016
Authors
Malović, Miodrag
Brajović, Ljiljana
Sekara, Tomislav
Mišković, Zoran
Article (Published version)
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Abstract
A lossless compression scheme for the data acquired from three-axial microelectromechanical (MEMS) accelerometer is presented. Time delay estimation (TDE) was applied in conjunction with differential pulse code modulation (DPCM) as the preprocessor to entropy coding, to perform lossless compression on an embedded sensor device with limited memory and speed in real time. The essence of this method is to check if the signal exhibits certain level of periodicity, and code the differences between samples one signal period apart if it does. Limited choice of feasible mathematical operations was an important constraint implied by the architecture of the embedded sensor device. Algorithm execution time was improved by programming in assembler and avoiding unnecessary operations. Experiments have confirmed that considerable compression ratio gains can be achieved if the signal is quasiperiodic.
Keywords:
Autocorrelation / Huffman coding / vibration measurement / wireless sensor network
Source:
Elektronika Ir Elektrotechnika, 2016, 22, 2, 21-26
Publisher:
  • Kauno Technologijos Universitetas

DOI: 10.5755/j01.eie.22.2.7646

ISSN: 1392-1215

WoS: 000377541700004

Scopus: 2-s2.0-84963864241
[ Google Scholar ]
3
2
URI
http://grafar.grf.bg.ac.rs/handle/123456789/768
Collections
  • Radovi istraživača / Researcher's publications
  • Катедра за математику, физику и нацртну геометрију
  • Катедра за материјале и конструкције
Institution
GraFar
TY  - JOUR
AU  - Malović, Miodrag
AU  - Brajović, Ljiljana
AU  - Sekara, Tomislav
AU  - Mišković, Zoran
PY  - 2016
UR  - http://grafar.grf.bg.ac.rs/handle/123456789/768
AB  - A lossless compression scheme for the data acquired from three-axial microelectromechanical (MEMS) accelerometer is presented. Time delay estimation (TDE) was applied in conjunction with differential pulse code modulation (DPCM) as the preprocessor to entropy coding, to perform lossless compression on an embedded sensor device with limited memory and speed in real time. The essence of this method is to check if the signal exhibits certain level of periodicity, and code the differences between samples one signal period apart if it does. Limited choice of feasible mathematical operations was an important constraint implied by the architecture of the embedded sensor device. Algorithm execution time was improved by programming in assembler and avoiding unnecessary operations. Experiments have confirmed that considerable compression ratio gains can be achieved if the signal is quasiperiodic.
PB  - Kauno Technologijos Universitetas
T2  - Elektronika Ir Elektrotechnika
T1  - Lossless Compression of Vibration Signals on an Embedded Device Using a TDE Based Predictor
EP  - 26
IS  - 2
SP  - 21
VL  - 22
DO  - 10.5755/j01.eie.22.2.7646
ER  - 
@article{
author = "Malović, Miodrag and Brajović, Ljiljana and Sekara, Tomislav and Mišković, Zoran",
year = "2016",
url = "http://grafar.grf.bg.ac.rs/handle/123456789/768",
abstract = "A lossless compression scheme for the data acquired from three-axial microelectromechanical (MEMS) accelerometer is presented. Time delay estimation (TDE) was applied in conjunction with differential pulse code modulation (DPCM) as the preprocessor to entropy coding, to perform lossless compression on an embedded sensor device with limited memory and speed in real time. The essence of this method is to check if the signal exhibits certain level of periodicity, and code the differences between samples one signal period apart if it does. Limited choice of feasible mathematical operations was an important constraint implied by the architecture of the embedded sensor device. Algorithm execution time was improved by programming in assembler and avoiding unnecessary operations. Experiments have confirmed that considerable compression ratio gains can be achieved if the signal is quasiperiodic.",
publisher = "Kauno Technologijos Universitetas",
journal = "Elektronika Ir Elektrotechnika",
title = "Lossless Compression of Vibration Signals on an Embedded Device Using a TDE Based Predictor",
pages = "26-21",
number = "2",
volume = "22",
doi = "10.5755/j01.eie.22.2.7646"
}
Malović M, Brajović L, Sekara T, Mišković Z. Lossless Compression of Vibration Signals on an Embedded Device Using a TDE Based Predictor. Elektronika Ir Elektrotechnika. 2016;22(2):21-26
Malović, M., Brajović, L., Sekara, T.,& Mišković, Z. (2016). Lossless Compression of Vibration Signals on an Embedded Device Using a TDE Based Predictor.
Elektronika Ir ElektrotechnikaKauno Technologijos Universitetas., 22(2), 21-26.
https://doi.org/10.5755/j01.eie.22.2.7646
Malović Miodrag, Brajović Ljiljana, Sekara Tomislav, Mišković Zoran, "Lossless Compression of Vibration Signals on an Embedded Device Using a TDE Based Predictor" 22, no. 2 (2016):21-26,
https://doi.org/10.5755/j01.eie.22.2.7646 .

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