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- W2007756293 abstract "In the article, the following approximation problem is discussed: Let N1(X, Y) be the set of all information channels with the output alphabet, X, and the input one, Y. Let ρ be a distance function defined for every ν, {if384-1} as {if384-2}, where the sup is taken over all n and all x0, …, xn, y0, …, yn. Let N ⊂ N1(X, Y) be the set of all weakly stationary regular information channels with finite past history, and let N2 ⊂ N1(X, Y) be the set of all channels realized by random (=probabilistic) automata. Then N2 ∩ N is dense in (N, ρ). This theorem has an important consequence that every channel from N can be approximated by a channel realized by a composition of a given binary stationary independent source and suitable generalized sequential deterministic machines." @default.
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- W2007756293 title "Approximation in the space of information channels" @default.
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- W2007756293 doi "https://doi.org/10.1016/s0019-9958(70)90204-4" @default.
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