Automatic determination of digital modulation types with different noises using Convolutional Neural Network based on time–frequency information-Reference-Cited by-同舟云学术

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Automatic determination of digital modulation types with different noises using Convolutional Neural Network based on time–frequency information

Published:2020-01 Issue: Volume:86 Page:105834
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Daldal Nihat^ORCID,Cömert Zafer^ORCID,Polat Kemal

Publisher

Elsevier BV

Subject

Software

Reference40 articles.

1. Different types of modulation analysis used for CATV transmission system;Kaur;Optik (Stuttg).,2014

2. Unsupervised feature learning and automatic modulation classification using deep learning model;Ali;Phys. Commun.,2017

3. Influence of modulation formats performance of the combined modulation in WDM-PON system;Li;Optik (Stuttg).,2013

4. Automatic modulation classification based on high order cumulants and hierarchical polynomial classifiers;Abdelmutalab;Phys. Commun.,2016

5. Digital modulation recognition based on instantaneous information;Hu;J. China Univ. Posts Telecommun.,2010

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