Low-Bitwidth Convolutional Neural Networks for Wireless Interference Identification-Reference-Cited by-同舟云学术

Low-Bitwidth Convolutional Neural Networks for Wireless Interference Identification

Author:

Wang Pengyu¹^ORCID,Cheng Yufan¹^ORCID,Peng Qihang²^ORCID,Dong Binhong¹^ORCID,Li Shaoqian¹

Affiliation:

1. National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China

2. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funder

National Nature Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Link

Reference50 articles.

1. DoReFa-Net: Training low bitwidth convolutional neural networks with low bitwidth gradients;zhou;arXiv 1606 06160 [cs],2016

5. Lightweight automatic modulation classification based on decentralized learning;fu;IEEE Trans Cogn Commun Netw,2021

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