| Original language | English |
|---|---|
| Article number | 9376976 |
| Pages (from-to) | 48236-48243 |
| Number of pages | 8 |
| Journal | IEEE Access |
| Volume | 9 |
| DOIs | |
| Publication status | Published (VoR) - 2021 |
Funding
This work was supported in part by the National Key Research and Development Program of China under Grant 2016YFB0402705; in part by the National Natural Science Foundation of China under Grant 11704261, Grant 11974252, Grant 51605485, and Grant 11575118; in part by the Shenzhen Science and Technology Project under Grant JCYJ20170817100658231, Grant JCYJ20180305124317872, Grant JCYJ20180507182106754, and Grant JCYJ20180507182439574; in part by the China Postdoctoral Science Foundation under Grant 2019M653018; in part by EU FP7_ICT_WatERP under Grant 318603; and in part by the EU FP7 Marie Curie Actions_SmartWater under Grant 318985. This work was supported in part by the National Key Research and Development Program of China under Grant 2016YFB0402705; in part by the National Natural Science Foundation of China under Grant 11704261, Grant 11974252, Grant 51605485, and Grant 11575118; in part by the Shenzhen Science and Technology Project under Grant JCYJ20170817100658231, Grant JCYJ20180305124317872, Grant JCYJ20180507182106754, and Grant JCYJ20180507182439574; in part by the China Postdoctoral Science Foundation under Grant 2019M653018; in part by EU FP7–ICT–WatERP under Grant 318603; and in part by the EU FP7 Marie Curie Actions–SmartWater under Grant 318985.
Keywords
- Multi-iteration
- error reduction
- pressure
- sensor
- surface acoustic wave
- temperature
- two-point simple moving average