An Agricultural Sensor Data Sparse Representation and Recovery Method Based on Redundant Dictionary

DOI

10.2991/icmeme-16.2016.39How to use a DOI?

Keywords

Agricultural Sensor Data, Sparse Representation, Redundant Dictionary

Abstract

The applications based on Internet of Things are widely used. In these applications, how to efficiently compressed wireless sensor data and recover them accurately is an important problem. In order to solve this problem, we design an agricultural sensor data sparse representation and recovery method based on redundant dictionary. We test our method on real sensor data set and the results show that the sensor data can be compressed and recovered accurately.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Feng Liu
AU  - Zhong Yang
PY  - 2016/12
DA  - 2016/12
TI  - An Agricultural Sensor Data Sparse Representation and Recovery Method Based on Redundant Dictionary
BT  - Proceedings of the 5th International Conference on Mechanical Engineering, Materials and Energy (5th ICMEME2016)
PB  - Atlantis Press
SP  - 209
EP  - 212
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeme-16.2016.39
DO  - 10.2991/icmeme-16.2016.39
ID  - Liu2016/12
ER  -