Version 1
: Received: 21 June 2023 / Approved: 21 June 2023 / Online: 21 June 2023 (10:18:49 CEST)
How to cite:
Mendes, G.; Pires, L. M. A/D Conversion with Oversample and Average Based Precision Improvement. Preprints2023, 2023061523. https://doi.org/10.20944/preprints202306.1523.v1
Mendes, G.; Pires, L. M. A/D Conversion with Oversample and Average Based Precision Improvement. Preprints 2023, 2023061523. https://doi.org/10.20944/preprints202306.1523.v1
Mendes, G.; Pires, L. M. A/D Conversion with Oversample and Average Based Precision Improvement. Preprints2023, 2023061523. https://doi.org/10.20944/preprints202306.1523.v1
APA Style
Mendes, G., & Pires, L. M. (2023). A/D Conversion with Oversample and Average Based Precision Improvement. Preprints. https://doi.org/10.20944/preprints202306.1523.v1
Chicago/Turabian Style
Mendes, G. and Luis Miguel Pires. 2023 "A/D Conversion with Oversample and Average Based Precision Improvement" Preprints. https://doi.org/10.20944/preprints202306.1523.v1
Abstract
This paper presents high-resolution digital measurements at low cost, combining oversample and averaging. Experiments of processing data between samples and between multiple temperature sensors in the same environment are conducted. They provide results with effective increase in the analog to digital converter bits, in correspondence with the minimization on the effects of noise. It is shown that averaging a set of small, low-cost sensors at a small microcontroller can give flexible access to improved measurement accuracy.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.