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JOURNALS // Problemy Peredachi Informatsii // Archive

Probl. Peredachi Inf., 2024 Volume 60, Issue 1, Pages 4–16 (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

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).

UDC: 621.391 : 519.72

Received: 30.11.2023
Revised: 26.03.2024
Accepted: 09.04.2024

DOI: 10.31857/S0555292324010029


 English version:
Problems of Information Transmission, 2024, 60:1, 1–11


© Steklov Math. Inst. of RAS, 2025