Zobrazeno 1 - 10
of 28
pro vyhledávání: '"V. V. Prelov"'
Autor:
V. V. Prelov
Publikováno v:
Problems of Information Transmission. 58:300-305
Autor:
V. V. Prelov
Publikováno v:
Problems of Information Transmission. 58:217-230
Autor:
V. V. Prelov
Publikováno v:
Problems of Information Transmission. 57:321-330
Autor:
V. V. Prelov
Publikováno v:
Problems of Information Transmission. 46:122-126
This paper supplements the author's paper [1]. We obtain an explicit formula which in a special case allows us to calculate the maximum of mutual information of several random variables via the variational distance between the joint distribution of t
Autor:
V. V. Prelov
Publikováno v:
Problems of Information Transmission. 45:295-308
We obtain some upper and lower bounds for the maximum of mutual information of several random variables via variational distance between the joint distribution of these random variables and the product of its marginal distributions. In this connectio
Autor:
V. V. Prelov, E. C. Meulen
Publikováno v:
Problems of Information Transmission. 44:185-197
Some upper and lower bounds are obtained for the maximum of the absolute value of the difference between the mutual information |I(X; Y) ? I(X?; Y?)| of two pairs of discrete random variables (X, Y) and (X?, Y?) via the variational distance between t
Autor:
E. C. Meulen, V. V. Prelov
Publikováno v:
Problems of Information Transmission. 43:271-279
We consider the problem of finding some sufficient conditions under which causal error-free filtering for a singular stationary stochastic process X = {X n} with a finite number of states from noisy observations is possible. For a rather general mode
Autor:
V. V. Prelov
Publikováno v:
Problems of Information Transmission. 43:12-22
We continue studying the relationship between mutual information and variational distance started in Pinsker's paper [1], where an upper bound for the mutual information via variational distance was obtained. We present a simple lower bound, which in
Autor:
E.C. van der Meulen, V. V. Prelov
Publikováno v:
Problems of Information Transmission. 39:324-340
Nonlinear channels with non-Gaussian noise where the transmitted signal is a random function of the input signal are considered. Under some assumptions on smoothness and the behavior of tails of the noise density function, higher-order asymptotics of
Autor:
M.S. Pinsker, V V Prelov
Publikováno v:
Russian Mathematical Surveys. 52:349-358
Contents §1. Introduction §2. Entropy-regular and entropy-singular processes §3. Formulation of the results §4. Proof of the theorem Bibliography