Tsirelson and Vershik (In Rev Math Phys 10(1):81–145, 1998) introduced the notion of a mathematical noise, which possesses completely opposite properties to those of a white noise. Afterward, Tsirelson (In Lectures on probability theory and statistics, Lecture Notes in Math., 1840, Springer, Berlin, pp 1–106, 2004) called this noise: ‘black noise.’ In this paper, we provide a method to simulate black noise using a modified Bayesian convolutional neural network. Then we study the behavior of black noise both numerically and visually.
