An Agricultural Sensor Data Sparse Representation and Recovery Method Based on Redundant Dictionary
Feng Liu, Zhong Yang
Available Online December 2016.
- 10.2991/icmeme-16.2016.39How to use a DOI?
- Agricultural Sensor Data, Sparse Representation, Redundant Dictionary
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.
- © 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/).
Cite this article
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 -