STOCHASTIC AND DETERMINISTIC MODELS OF NOISE

摘要

The paper describes several models which may be of use for explanation of the origin and properties of experimentally observed types of noise. The stochastic models are analyzed first, including the autoregressive scheme and the moving averages on the n-th order. Galton board model and generalized baker map represent deterministic systems with rich set of properties. The results presented in the second half of the paper are intimately connected to the theory of deterministic chaos, and the crucial role is played there by the attractors in phase spaces of the systems.