"Study on Effective CSI Feature Extraction and Deep Learning Based Indoor ..."

Seiha Homma et al. (2024)

> Home

Details and statistics

DOI: 10.1109/APWCS61586.2024.10679303

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-10

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/apwcs2/HommaIOKM24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/apwcs2/HommaIOKM24
Seiha Homma, Yuta Ida, Yasuaki Ohira, Sho Kuroda, Takahiro Matsumoto:
Study on Effective CSI Feature Extraction and Deep Learning Based Indoor Positioning Method. APWCS 2024: 1-5

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.