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

Junhe Zhou; Panpan Fan

doi:10.1364/OSAC.386233

Abstract

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

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]

Previous Article Next Article

References

View by:
Article Order
Year
Author
Publication

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]
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]