arXiv Open Access 2021

Robust data analysis and imaging with computational ghost imaging

Jiangtao Liu Xun-Ming Cai Jin-Bao Huang Kun Luo HongXu Li +3 lainnya
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Abstrak

Nowadays the world has entered into the digital age, in which the data analysis and visualization have become more and more important. In analogy to imaging the real object, we demonstrate that the computational ghost imaging can image the digital data to show their characteristics, such as periodicity. Furthermore, our experimental results show that the use of optical imaging methods to analyse data exhibits unique advantages, especially in anti-interference. The data analysis with computational ghost imaging can be well performed against strong noise, random amplitude and phase changes in the binarized signals. Such robust data data analysis and imaging has an important application prospect in big data analysis, meteorology, astronomy, economics and many other fields.

Topik & Kata Kunci

Penulis (8)

J

Jiangtao Liu

X

Xun-Ming Cai

J

Jin-Bao Huang

K

Kun Luo

H

HongXu Li

W

Weimin Li

D

De-Jian Zhang

Z

Zhenhua Wu

Format Sitasi

Liu, J., Cai, X., Huang, J., Luo, K., Li, H., Li, W. et al. (2021). Robust data analysis and imaging with computational ghost imaging. https://arxiv.org/abs/2111.03790

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓