Robust data analysis and imaging with computational ghost imaging

التفاصيل البيبلوغرافية
العنوان: Robust data analysis and imaging with computational ghost imaging
المؤلفون: Liu, Jiangtao, Cai, Xun-Ming, Huang, Jin-Bao, Luo, Kun, Li, HongXu, Li, Weimin, Zhang, De-Jian, Wu, Zhenhua
سنة النشر: 2021
المجموعة: Physics (Other)
مصطلحات موضوعية: Physics - Optics, Electrical Engineering and Systems Science - Image and Video Processing
الوصف: 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.
نوع الوثيقة: Working Paper
الوصول الحر: http://arxiv.org/abs/2111.03790Test
رقم الانضمام: edsarx.2111.03790
قاعدة البيانات: arXiv