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Problemy Peredachi Informatsii, 2024, Volume 60, Issue 1, Pages 4–16
DOI: https://doi.org/10.31857/S0555292324010029
(Mi ppi2407)
 

Information Theory

computation of the fundamental limits of data compression for certain nonstationary ARMA vector sources

J. Gutiérrez-Gutiérrez, í. Barasoain-Echepare, M. Zárraga-Rodríguez, X. Insausti

Tecnun School of Engineering, University of Navarra, San Sebastián, Spain
References:
Abstract: In the present article, the differential entropy rate and the rate distortion function (RDF) are computed for certain nonstationary real Gaussian autoregressive moving average (ARMA) vector sources.
Keywords: autoregressive moving average (ARMA) vector process, data compression, differential entropy rate, rate distortion function (RDF).
Funding agency Grant number
Agencia Estatal de Investigacion PID2022-137099NB-C44
This work was supported in part by the Spanish Ministry of Science and Innovation through the MADDIE project (PID2022-137099NB-C44).
Received: 30.11.2023
Revised: 26.03.2024
Accepted: 09.04.2024
English version:
Problems of Information Transmission, 2024, Volume 60, Issue 1, Pages 1–11
DOI: https://doi.org/10.1134/S0032946024010010
Bibliographic databases:
Document Type: Article
UDC: 621.391 : 519.72
Language: Russian
Citation: J. Gutiérrez-Gutiérrez, í. Barasoain-Echepare, M. Zárraga-Rodríguez, X. Insausti, “computation of the fundamental limits of data compression for certain nonstationary ARMA vector sources”, Probl. Peredachi Inf., 60:1 (2024), 4–16; Problems Inform. Transmission, 60:1 (2024), 1–11
Citation in format AMSBIB
\Bibitem{GutBarZar24}
\by J.~Guti\'errez-Guti\'errez, {\'\i}.~Barasoain-Echepare, M.~Z\'arraga-Rodr{\'\i}guez, X.~Insausti
\paper computation of the fundamental limits of data compression for certain nonstationary ARMA vector sources
\jour Probl. Peredachi Inf.
\yr 2024
\vol 60
\issue 1
\pages 4--16
\mathnet{http://mi.mathnet.ru/ppi2407}
\crossref{https://doi.org/10.31857/S0555292324010029}
\edn{https://elibrary.ru/OZSXLJ}
\transl
\jour Problems Inform. Transmission
\yr 2024
\vol 60
\issue 1
\pages 1--11
\crossref{https://doi.org/10.1134/S0032946024010010}
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