Deep Neural Network Compression Technique Towards Efficient Digital Signal Modulation Recognition in Edge Device
Digital signal modulation recognition is meaningful for military application and civilian application. In the non-cooperation communication scenario, digital signal modulation recognition will help people identify communication target and have better management over them. In order to the classificat...
Main Authors: | Ya Tu, Yun Lin |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8703045/ |
Similar Items
-
A Robust Deep-Neural-Network-Based Compressed Model for Mobile Device Assisted by Edge Server
by: Yushuang Yan, et al.
Published: (2019-01-01) -
Exploring Accumulated Gradient-Based Quantization and Compression for Deep Neural Networks
by: Gaopande, Meghana Laxmidhar
Published: (2020) -
Fast Convolutional Neural Networks in Low Density FPGAs Using Zero-Skipping and Weight Pruning
by: Mário P. Véstias, et al.
Published: (2019-11-01) -
An efficient pruning scheme of deep neural networks for Internet of Things applications
by: Chen Qi, et al.
Published: (2021-06-01) -
Human Segmentation Based on Compressed Deep Convolutional Neural Network
by: Jun Miao, et al.
Published: (2020-01-01)