On the tightness of the Zhang-Yeung inequality for Gaussian vectors.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F03%3A16030236" target="_blank" >RIV/67985556:_____/03:16030236 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
On the tightness of the Zhang-Yeung inequality for Gaussian vectors.
Original language description
The Zhang-Yeung unconditional inequality for Shannon entropies of discrete random variables can be extended to Gaussian variables. A necessary and sufficient condition for equality in the resulting inequality is presented.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/IAA1075104" target="_blank" >IAA1075104: Highly structured distributions in artificial intelligence, cryptography and combinatorics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Communications in Information and Systems
ISSN
1526-7555
e-ISSN
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Volume of the periodical
3
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
41-46
UT code for WoS article
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EID of the result in the Scopus database
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