A 54 µW CMOS Auto-Trimming Bandgap References (ATBGR) Achieving 90 dB PSRR for Artificial Intelligence of Things (AIoT) Chips
An Auto-Trimming CMOS Bandgap References Circuit (ATBGR) with PSRR enhancement circuit for Artificial Intelligence of Things (AIoT) chips is presented in this paper. The ATBGR is designed with a first-order temperature compensation technique providing a stable reference voltage of 1.25 V in the rang...
Main Authors: | Balamahesn Poongan, Jagadheswaran Rajendran, Selvakumar Mariappan, Arvind Singh Rawat, Narendra Kumar, Arokia Nathan, Binboga S. Yarman |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
|
Series: | Micromachines |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-666X/14/9/1724 |
Similar Items
-
An edge-cloud collaborative computing platform for building AIoT applications efficiently
by: Guoping Rong, et al.
Published: (2021-07-01) -
A Survey of Industrial AIoT: Opportunities, Challenges, and Directions
by: Kamran Sattar Awaisi, et al.
Published: (2024-01-01) -
A Partition Based Gradient Compression Algorithm for Distributed Training in AIoT
by: Bingjun Guo, et al.
Published: (2021-03-01) -
LPAI—A Complete AIoT Framework Based on LPWAN Applicable to Acoustic Scene Classification Scenarios
by: Xinru Jing, et al.
Published: (2022-12-01) -
An intelligent signal processing method against impulsive noise interference in AIoT
by: Bin Wang, et al.
Published: (2023-10-01)