On the Distribution of the Information Density of Gaussian Random Vectors: Explicit Formulas and Tight Approximations

Benutzer: Gast

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Huffmann, Jonathan E. W. ; Mittelbach, Martin
Titel:: On the Distribution of the Information Density of Gaussian Random Vectors: Explicit Formulas and Tight Approximations
Stichworte:: Article ; information density ; information spectrum ; probability density function ; cumulative distribution function ; central moments ; Gaussian random vector ; canonical correlation analysis
Zeitschriftentitel:: Entropy
Jahr:: 2022
Band / Volume:: 24
Heft / Issue:: 7
Volltext / DOI:: doi:10.3390/e24070924
Verlag / Institution:: MDPI
E-ISSN:: 1099-4300
Publikationsdatum:: 02.07.2022
CC-Lizenz:: by, https://creativecommons.org/licenses/by/4.0

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