On the Quantization Goodness of Polar Lattices

In this work, we prove that polar lattices, when tailored for lossy compression, are quantization-good in the sense that their normalized second moments approach <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\frac{1}{2\pi e}$</tex> as the dimension of lattices increases. It has been predicted by Zamir et al. [1] that the Entropy Coded Dithered Quantization (ECDQ) system using quantization-good lattices can achieve the rate-distortion bound of i.i.d. Gaussian sources. In our previous work [2], we established that polar lattices are indeed capable of attaining the same objective. It is reasonable to conjecture that polar lattices also demonstrate quantization goodness in the context of lossy compression. This study confirms this hypothesis.

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Publication Details

Published
2024-11-24
DOI
https://doi.org/10.1109/itw61385.2024.10806974
Citations
3
Primary Topic
Advanced Algebra and Logic
Type
article
Field-Weighted Citation Impact
1.08
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article

On the Quantization Goodness of Polar Lattices

Shanxiang Lyu, Baoming Bai, Cong Ling, Ling Liu
3 citations
Advanced Algebra and Logic
1.08
article

On the Quantization Goodness of Polar Lattices

Shanxiang Lyu, Baoming Bai, Cong Ling, Ling Liu
article en
3 citations

Abstract

In this work, we prove that polar lattices, when tailored for lossy compression, are quantization-good in the sense that their normalized second moments approach <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\frac{1}{2\pi e}$</tex> as the dimension of lattices increases. It has been predicted by Zamir et al. [1] that the Entropy Coded Dithered Quantization (ECDQ) system using quantization-good lattices can achieve the rate-distortion bound of i.i.d. Gaussian sources. In our previous work [2], we established that polar lattices are indeed capable of attaining the same objective. It is reasonable to conjecture that polar lattices also demonstrate quantization goodness in the context of lossy compression. This study confirms this hypothesis.

Xidian University (CN), Jinan University (CN), Imperial College London (GB)
Openalex Percentile: Top 19%
Advanced Algebra and Logic
1.08
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