Robust CSI based smart human sensing
This thesis investigates the current challenges of CSI-based smart human sensing. The author has proposed several new techniques to improve the robustness and training efficiency. Finally, the future research directions in this field are also discussed.
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/166508 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-166508 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1665082023-07-04T17:02:22Z Robust CSI based smart human sensing Wang, Dazhuo Xie Lihua School of Electrical and Electronic Engineering ELHXIE@ntu.edu.sg Engineering::Electrical and electronic engineering This thesis investigates the current challenges of CSI-based smart human sensing. The author has proposed several new techniques to improve the robustness and training efficiency. Finally, the future research directions in this field are also discussed. Doctor of Philosophy 2023-05-03T00:24:56Z 2023-05-03T00:24:56Z 2023 Thesis-Doctor of Philosophy Wang, D. (2023). Robust CSI based smart human sensing. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166508 https://hdl.handle.net/10356/166508 10.32657/10356/166508 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). application/pdf Nanyang Technological University |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Electrical and electronic engineering |
spellingShingle |
Engineering::Electrical and electronic engineering Wang, Dazhuo Robust CSI based smart human sensing |
description |
This thesis investigates the current challenges of CSI-based smart human sensing. The author has proposed several new techniques to improve the robustness and training efficiency. Finally, the future research directions in this field are also discussed. |
author2 |
Xie Lihua |
author_facet |
Xie Lihua Wang, Dazhuo |
format |
Thesis-Doctor of Philosophy |
author |
Wang, Dazhuo |
author_sort |
Wang, Dazhuo |
title |
Robust CSI based smart human sensing |
title_short |
Robust CSI based smart human sensing |
title_full |
Robust CSI based smart human sensing |
title_fullStr |
Robust CSI based smart human sensing |
title_full_unstemmed |
Robust CSI based smart human sensing |
title_sort |
robust csi based smart human sensing |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/166508 |
_version_ |
1772826744550588416 |