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.

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Bibliographic Details
Main Author: Wang, Dazhuo
Other Authors: Xie Lihua
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166508
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Institution: Nanyang Technological University
Language: English
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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
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