Robust binarized data analysis with computational ghost imaging

Abstract

In analogy to imaging the real object, we demonstrate that 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 analyze binarized 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 binarized data analysis and imaging have an important application prospect in big data analysis, meteorology, astronomy, economics, and many other fields.