Temperature compensation for analog machine learners
Extensive use of Internet of Things (IoT) in daily lives has increased demand for ever more computational effort in cloud computing. However, with the aid of low-power machine learning system and edge analytics, part of the processing capability is delegated to edge devices closer to sensory front-e...
Saved in:
Main Author: | Tiong, Nicholas Kung Hung |
---|---|
Other Authors: | Arindam Basu |
Format: | Final Year Project |
Language: | English |
Published: |
2019
|
Online Access: | http://hdl.handle.net/10356/77640 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Temperature compensation for analog machine learners (II)
by: Lee, Shawn Wei Han
Published: (2021) -
Low-power machine learners for implantable decoding
by: Shaikh, Shoeb Dawood
Published: (2021) -
GEOMETRICAL ERRO COMPENSATION OF PRECISION MACHINES
by: SEET HOE LUEN
Published: (2019) -
GEOMETRICAL ERRO COMPENSATION OF PRECISION MACHINES
by: SEET HOE LUEN
Published: (2019) -
Time-interleaved analog-to-digital converter mismatch compensation using infinite impulse response filters
by: Xu, Saihua
Published: (2016)