Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Modulation format/bit rate recognition based on principal component analysis (PCA) and artificial neural networks (ANNs): erratum

Open Access Open Access

Abstract

The aim of this erratum is to add an omitted reference.

© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

The authors of the subject paper [1] would like add an important reference [2], which deals with modulation format recognition for signals in wireless networks. The authors were not aware of [2] at the time of publication because they were focusing on modulation format recognition for signals in optical networks. They regret this omission.

Disclosures

The authors declare no conflicts of interest.

References

1. J. Zhou and P. Fan, “Modulation format/bit rate recognition based on principal component analysis (PCA) and artificial neural networks (ANNs),” OSA Continuum 2(3), 923–937 (2019). [CrossRef]  

2. F. N. Khan, C. H. Teow, S. G. Kiu, M. C. Tan, Y. Zhou, W. H. Al-Arashi, A. P. T. Lau, and C. Lu, “Automatic modulation format/bit rate classification and signal-to-noise ratio estimation using asynchronous delay-tap sampling,” Com. Elect. Eng. 47, 126–133 (2015). [CrossRef]  

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.

Alert me when this article is cited.


Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.