Journal of Sensors and Sensor Systems
Journal of Sensors and Sensor Systems
JSSS
Articles | Volume 11, issue 2
Articles | Volume 11, issue 2
https://doi.org/10.5194/jsss-11-233-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/jsss-11-233-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 2
Regular research article
 | 
10 Aug 2022
Regular research article |  | 10 Aug 2022

Design of a CMOS memristor emulator-based, self-adaptive spiking analog-to-digital data conversion as the lowest level of a self-x hierarchy

Hamam Abd and Andreas König

Viewed

Total article views: 951 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
723 207 21 951 16 18
  • HTML: 723
  • PDF: 207
  • XML: 21
  • Total: 951
  • BibTeX: 16
  • EndNote: 18
Views and downloads (calculated since 10 Aug 2022)
Cumulative views and downloads (calculated since 10 Aug 2022)

Viewed (geographical distribution)

Total article views: 861 (including HTML, PDF, and XML) Thereof 861 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Apr 2024
Download
Short summary
We pursue a promising novel self-adaptive spiking neural analog-to-digital data conversion (SN-ADC) design that uses spike time to carry information. Thus, SN-ADC can be effectively translated to aggressive new technologies to implement reliable advanced sensory electronic systems. The SN-ADC supports self-x (self-calibration, self-optimization, and self-healing) and machine learning required for the internet of things and Industry 4.0 and is based on a self-adaptive CMOS memristor.
Read more
Special issue
Sensors and Measurement Science International SMSI 2021