"Deep Learning-Based Codebook Designs for Generalized Space Shift Keying ..."

Di Huang et al. (2022)

> Home

Details and statistics

DOI: 10.1109/TVT.2021.3128693

access: closed

type: Journal Article

metadata version: 2022-02-08

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tvt/HuangJLH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tvt/HuangJLH22
Di Huang, Xueqin Jiang, Inkyu Lee, Han Hai:
Deep Learning-Based Codebook Designs for Generalized Space Shift Keying Systems. IEEE Trans. Veh. Technol. 71(1): 1038-1042 (2022)

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.