High-Performance Computational Recognition of Communication Signals Based on Bispectral Quadratic Feature Model

Yarong Chen, Rui Zhu, Jianxin Guo, Feng Wang

DOI: 10.1155/2022/2773492
Published: 2022-04-26
Container: Computational Intelligence and Neuroscience
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2022/2773492,
  title = {High-Performance Computational Recognition of Communication Signals Based on Bispectral Quadratic Feature Model},
  author = {Yarong Chen and Rui Zhu and Jianxin Guo and Feng Wang},
  year = {2022},
  journal = {Computational Intelligence and Neuroscience},
  doi = {10.1155/2022/2773492},
  url = {https://doi.org/10.1155/2022/2773492}
}

RIS

TY  - JOUR
TI  - High-Performance Computational Recognition of Communication Signals Based on Bispectral Quadratic Feature Model
AU  - Yarong Chen
AU  - Rui Zhu
AU  - Jianxin Guo
AU  - Feng Wang
PY  - 2022
JO  - Computational Intelligence and Neuroscience
DO  - 10.1155/2022/2773492
UR  - https://doi.org/10.1155/2022/2773492
ER  -

APA

Chen, Y., Zhu, R., Guo, J., & Wang, F. (2022). High-Performance Computational Recognition of Communication Signals Based on Bispectral Quadratic Feature Model. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2022/2773492

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crossref · retrieved 2026-09-26T14:10:29.664Z