What is white noise? What are the properties of white noise?

... stochastic processes, and information dynamics approaches. Our analysis revealed novel relationships between these metrics, which allowed us to build a ... Jun 6, 2018 ... Biological systems can share and collectively process information to yield emergent effects, despite inherent noise in communication. While ... ... stochastic time series. We dissect the uncertainty of a single observation ... process's internal information dynamics. The measures scale with the ... May 23, 2022 ... Emergence and information in stochastic and deterministic processes. For systems composed of (or defined by) stochastic processes, emergence ... A model is proposed which treats network traffic as a stochastic process with an infinite mean delay. Such a model can be used to explain the appearance of ... Dec 19, 2024 ... Although Thermodynamics, Information Theory, Brownian motion and Stochastic Physical Process share commonalities in handling energy, information ... The stochastic properties of this process determine long-run learning dynamics. The challenge in establishing convergence results for <λt> stems from the ... ... Random Bridge market information process. This is the first attempt to ... Stochastic Processes and Their Applications, 121, 856-884. https://doi.org ... Next, in Section 3, we model the HVAC problem as a Partially Observable Markov Decision Process (POMDP) with environment dependency. Section 4 shows that the ... stochastic process. Mutual information based distance measure can thus be used to compare texts written by different authors or to build phylogenies of ...