Robust Automatic Modulation Recognition Through Joint Contribution of Hand-Crafted and Contextual Features
- DOI
- 10.1109/access.2021.3099222
- Published
- 2021
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2021.3099222,
title = {Robust Automatic Modulation Recognition Through Joint Contribution of Hand-Crafted and Contextual Features},
author = {Bachir Jdid and Wei Hong Lim and Iyad Dayoub and Kais Hassan and Mohd Rizon Bin Mohamed Juhari},
year = {2021},
journal = {IEEE Access},
doi = {10.1109/access.2021.3099222},
url = {https://doi.org/10.1109/access.2021.3099222}
}RIS
TY - JOUR TI - Robust Automatic Modulation Recognition Through Joint Contribution of Hand-Crafted and Contextual Features AU - Bachir Jdid AU - Wei Hong Lim AU - Iyad Dayoub AU - Kais Hassan AU - Mohd Rizon Bin Mohamed Juhari PY - 2021 JO - IEEE Access DO - 10.1109/access.2021.3099222 UR - https://doi.org/10.1109/access.2021.3099222 ER -
APA
Jdid, B., Lim, W. H., Dayoub, I., Hassan, K., & Juhari, M. R. B. M. (2021). Robust Automatic Modulation Recognition Through Joint Contribution of Hand-Crafted and Contextual Features. IEEE Access. https://doi.org/10.1109/access.2021.3099222
Source records
- crossref · retrieved 2026-09-25T06:24:25.214Z