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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
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).
Received: 30.11.2023 Revised: 26.03.2024 Accepted: 09.04.2024
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
Linking options:
https://www.mathnet.ru/eng/ppi2407 https://www.mathnet.ru/eng/ppi/v60/i1/p4
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