Generalized Schalkwijk-Kailath Coding for Autoregressive Gaussian Channels

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Hauptverfasser: Su, Jun, Han, Guangyue, Shamai, Shlomo
Format: Preprint
Veröffentlicht: 2026
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author Su, Jun
Han, Guangyue
Shamai, Shlomo
author_facet Su, Jun
Han, Guangyue
Shamai, Shlomo
contents We propose a Gaussian random coding scheme for AR($p$) Gaussian channels that generalizes the celebrated Schalkwijk-Kailath (SK) coding scheme. This constructive coding scheme, termed the SK(2) coding scheme, yields a closed-form characterization for the corresponding achievable rate. Among many others, this result shows that the celebrated SK coding scheme is not universally optimal, and therefore, disprove the conjecture proposed by Butman in \cite{butman1976linear}.
format Preprint
id arxiv_https___arxiv_org_abs_2601_09329
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Generalized Schalkwijk-Kailath Coding for Autoregressive Gaussian Channels
Su, Jun
Han, Guangyue
Shamai, Shlomo
Information Theory
We propose a Gaussian random coding scheme for AR($p$) Gaussian channels that generalizes the celebrated Schalkwijk-Kailath (SK) coding scheme. This constructive coding scheme, termed the SK(2) coding scheme, yields a closed-form characterization for the corresponding achievable rate. Among many others, this result shows that the celebrated SK coding scheme is not universally optimal, and therefore, disprove the conjecture proposed by Butman in \cite{butman1976linear}.
title Generalized Schalkwijk-Kailath Coding for Autoregressive Gaussian Channels
topic Information Theory
url https://arxiv.org/abs/2601.09329