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Entropy 2017, 19(10), 554; https://doi.org/10.3390/e19100554

Upper Bounds for the Rate Distortion Function of Finite-Length Data Blocks of Gaussian WSS Sources

Tecnun, University of Navarra, Manuel Lardizábal 13, 20018 San Sebastián, Spain
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Received: 19 September 2017 / Revised: 14 October 2017 / Accepted: 15 October 2017 / Published: 19 October 2017
(This article belongs to the Special Issue Rate-Distortion Theory and Information Theory)
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Abstract

In this paper, we present upper bounds for the rate distortion function (RDF) of finite-length data blocks of Gaussian wide sense stationary (WSS) sources and we propose coding strategies to achieve such bounds. In order to obtain those bounds, we previously derive new results on the discrete Fourier transform (DFT) of WSS processes. View Full-Text
Keywords: source coding; rate distortion function (RDF); Gaussian process; wide sense stationary (WSS) process; discrete Fourier transform (DFT) source coding; rate distortion function (RDF); Gaussian process; wide sense stationary (WSS) process; discrete Fourier transform (DFT)
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Gutiérrez-Gutiérrez, J.; Zárraga-Rodríguez, M.; Insausti, X. Upper Bounds for the Rate Distortion Function of Finite-Length Data Blocks of Gaussian WSS Sources. Entropy 2017, 19, 554.

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