Journal of Sensors and Sensor Systems
Journal of Sensors and Sensor Systems
JSSS
Articles | Volume 12, issue 2
Articles | Volume 12, issue 2
https://doi.org/10.5194/jsss-12-247-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/jsss-12-247-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 2
Regular research article
 | 
16 Nov 2023
Regular research article |  | 16 Nov 2023

Wireless surface acoustic wave resonator sensors: fast Fourier transform, empirical mode decomposition or wavelets for the frequency estimation in one shot?

Angel Scipioni, Pascal Rischette, and Agnès Santori

Viewed

Total article views: 327 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
258 55 14 327 11 8
  • HTML: 258
  • PDF: 55
  • XML: 14
  • Total: 327
  • BibTeX: 11
  • EndNote: 8
Views and downloads (calculated since 16 Nov 2023)
Cumulative views and downloads (calculated since 16 Nov 2023)

Viewed (geographical distribution)

Total article views: 312 (including HTML, PDF, and XML) Thereof 312 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 11 May 2024
Download
Short summary
Many applications which measure physical quantities rely on wireless surface acoustic wave sensors. The accuracy of this sensor depends directly on the measurement of its main frequency. This paper aims to compare three methods for this measurement in one shot: fast Fourier transform, discrete wavelet transform, and empirical mode decomposition. Results show that the choice of the method is conditioned by the disturbance level and that the wavelet method is the best way for harsh environments.
Read more