Nonlinearity Tolerance in Hierarchical Distribution Matching: Impact of Blocklength

This work reports the unique nonlinearity tolerance w.r.t. the blocklength of hierarchical distribution matching, by comparing several common methods through energy dispersion index analysis and numerical simulations in probabilistically shaped systems.

Authors

Akira Naka (ORCID: https://orcid.org/0000-0003-3797-0855)
Mamoru Komatsu (ORCID: https://orcid.org/0009-0000-0827-5605)

Institutions

Ibaraki University (JP)

Publication Details

Published: 2025-06-29
DOI: https://doi.org/10.23919/oecc/psc62146.2025.11109596
Citations: 1
Primary Topic: Statistical Methods and Inference
Type: article
Field-Weighted Citation Impact: 2.63

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article

Nonlinearity Tolerance in Hierarchical Distribution Matching: Impact of Blocklength

Akira Naka, Mamoru Komatsu

Jun 29, 2025

1 citations

Statistical Methods and Inference

2.63

article

Nonlinearity Tolerance in Hierarchical Distribution Matching: Impact of Blocklength

Akira Naka, Mamoru Komatsu

June 29, 2025article en

1 citations

Abstract

Ibaraki University (JP)

Openalex Percentile: Top 9%

Statistical Methods and Inference

2.63

DOI Source OpenAlex

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Nonlinearity Tolerance in Hierarchical Distribution Matching: Impact of Blocklength — Akira Naka, Mamoru Komatsu · (2025) | TGRS Research Map | TGRS