Work

Wireless technology identification using deep Convolutional Neural Networks

Year: 2017

Type: conference-paper

Source: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

DOI: 10.1109/pimrc.2017.8292183

Authors: Naim Bitar, Siraj Muhammad, Hazem H. Refai

Institution: University of Oklahoma - Tulsa

Language: English

Topic: Wireless Signal Modulation Classification

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W2785648464

FWCI: 2.287

Cites: 20

Cited by: 76

Related to: 10