Autocorrelation Convolution Networks Based on Deep Learning for Automatic Modulation Classification

Zhang, Duona; Ding, Wenrui; Wang, Hongyu; Zhang, Baochang

doi:10.1109/iciea48937.2020.9248386

2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA) 2020

DOI: 10.1109/iciea48937.2020.9248386

|View full text |Cite

Autocorrelation Convolution Networks Based on Deep Learning for Automatic Modulation Classification

Duona Zhang

Wenrui Ding

Hongyu Wang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Book1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Autocorrelation Convolution Networks Based on Deep Learning for Automatic Modulation Classification

Cited by 1 publication

References 8 publications

Automatic Jammer Signal Classification Using Deep Learning in the Spectrum of AI-Enabled CR-IoT

Automatic Jammer Signal Classification Using Deep Learning in the Spectrum of AI-Enabled CR-IoT

Contact Info

Product

Resources

About