On the Asymptotic Optimality of a Low-Complexity Coding Strategy for WSS, MA, and AR Vector Sources

On the Asymptotic Optimality of a Low-Complexity Coding Strategy for WSS, MA, and AR Vector Sources

In this paper, we study the asymptotic optimality of a low-complexity coding strategy for Gaussian vector sources. Specifically, we study the convergence speed of the rate of such a coding strategy when it is used to encode the most relevant vector sources, namely wide sense stationary (WSS), moving...

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Bibliographic Details
Main Authors: Jesús Gutiérrez-Gutiérrez, Marta Zárraga-Rodríguez, Xabier Insausti
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Entropy
Subjects:
source coding
low-complexity
wide sense stationary (WSS) vector source
moving average (MA) vector source
autoregressive (AR) vector source
Online Access:https://www.mdpi.com/1099-4300/22/12/1378

Internet

https://www.mdpi.com/1099-4300/22/12/1378

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