On some extremal problems for mutual information and entropy
- 作者: Prelov V.V.1
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隶属关系:
- Kharkevich Institute for Information Transmission Problems
- 期: 卷 52, 编号 4 (2016)
- 页面: 319-328
- 栏目: Information Theory
- URL: https://journal-vniispk.ru/0032-9460/article/view/166327
- DOI: https://doi.org/10.1134/S0032946016040013
- ID: 166327
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详细
The problem of determining the maximum mutual information I(X; Y) and minimum entropy H(X, Y) of a pair of discrete random variables X and Y is considered under the condition that the probability distribution of X is fixed and the error probability Pr{Y ≠ X} takes a given value ε, 0 ≤ ε ≤ 1. Precise values for these quantities are found, which in several cases allows us to obtain explicit formulas for both the maximum information and minimum entropy in terms of the probability distribution of X and the parameter ε.
作者简介
V. Prelov
Kharkevich Institute for Information Transmission Problems
编辑信件的主要联系方式.
Email: prelov@iitp.ru
俄罗斯联邦, Moscow
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