FPGA Deployment of Deep Neural Network for Modulation Recognition-Reference-Cited by-同舟云学术

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FPGA Deployment of Deep Neural Network for Modulation Recognition

Published:2023-07-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)
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Author:

Xu Zhuang¹,Luo Yunxiang¹,Yao Wei¹,Yang Xi²,Peng Shengliang¹

Affiliation:

1. College of Information Science and Engineering, Huaqiao University,Xiamen,China,361021

2. School of Communication and Electronic Engineering, Jishou University,Jishou,China,416000

Funder

China Scholarship Council

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Fujian Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256259/10256261/10256533.pdf?arnumber=10256533

Reference15 articles.

1. An Improved AlexNet for Power Edge Transmission Line Anomaly Detection

2. FPGA-Based Acceleration for Bayesian Convolutional Neural Networks

3. Reliability Evaluation and Analysis of FPGA-Based Neural Network Acceleration System

4. FARNN: FPGA-GPU Hybrid Acceleration Platform for Recurrent Neural Networks

5. Energy-Efficient High-Speed ASIC Implementation of Convolutional Neural Network Using Novel Reduced Critical-Path Design

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning Based Modulation Classification in Radio Access Network;2023 IEEE Globecom Workshops (GC Wkshps);2023-12-04

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