Recursive/Iterative unique Projection-Aggregation of RM codes

Marzieh Hashemipour-Nazari; Renate Debets; Kees Goossens; Alexios Balatsoukas-Stimming

doi:10.48550/arXiv.2210.16227

Recursive/Iterative unique Projection-Aggregation of RM codes

Marzieh Hashemipour-Nazari (Corresponding author)
, Renate Debets
, Kees Goossens
, Alexios Balatsoukas-Stimming

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic

48 Downloads (Pure)

Samenvatting

We describe recursive unique projection-aggregation (RUPA) decoding and iterative unique projection-aggregation (IUPA) decoding of Reed-Muller (RM) codes, which remove non-unique projections from the recursive projection-aggregation (RPA) and iterative projection-aggregation (IPA) algorithms respectively. We show that these algorithms have competitive error-correcting performance while requiring up to 95% projections less than the baseline RPA algorithm.

Originele taal-2	Engels
Artikelnummer	2210.16227
Aantal pagina's	5
Tijdschrift	arXiv
Volume	2022
DOI's	https://doi.org/10.48550/arXiv.2210.16227
Status	Gepubliceerd - 28 okt. 2022

Toegang tot document

10.48550/arXiv.2210.16227

2210.16227Definitieve gepubliceerde versie, 504 KB

Citeer dit

@article{2581635db27f467bb281c9a8e6a47e4b,

title = "Recursive/Iterative unique Projection-Aggregation of RM codes",

abstract = "We describe recursive unique projection-aggregation (RUPA) decoding and iterative unique projection-aggregation (IUPA) decoding of Reed-Muller (RM) codes, which remove non-unique projections from the recursive projection-aggregation (RPA) and iterative projection-aggregation (IPA) algorithms respectively. We show that these algorithms have competitive error-correcting performance while requiring up to 95\% projections less than the baseline RPA algorithm. ",

author = "Marzieh Hashemipour-Nazari and Renate Debets and Kees Goossens and Alexios Balatsoukas-Stimming",

year = "2022",

month = oct,

day = "28",

doi = "10.48550/arXiv.2210.16227",

language = "English",

volume = "2022",

journal = "arXiv",

issn = "2331-8422",

publisher = "Cornell University",

}

TY - JOUR

T1 - Recursive/Iterative unique Projection-Aggregation of RM codes

AU - Hashemipour-Nazari, Marzieh

AU - Debets, Renate

AU - Goossens, Kees

AU - Balatsoukas-Stimming, Alexios

PY - 2022/10/28

Y1 - 2022/10/28

N2 - We describe recursive unique projection-aggregation (RUPA) decoding and iterative unique projection-aggregation (IUPA) decoding of Reed-Muller (RM) codes, which remove non-unique projections from the recursive projection-aggregation (RPA) and iterative projection-aggregation (IPA) algorithms respectively. We show that these algorithms have competitive error-correcting performance while requiring up to 95% projections less than the baseline RPA algorithm.

AB - We describe recursive unique projection-aggregation (RUPA) decoding and iterative unique projection-aggregation (IUPA) decoding of Reed-Muller (RM) codes, which remove non-unique projections from the recursive projection-aggregation (RPA) and iterative projection-aggregation (IPA) algorithms respectively. We show that these algorithms have competitive error-correcting performance while requiring up to 95% projections less than the baseline RPA algorithm.

U2 - 10.48550/arXiv.2210.16227

DO - 10.48550/arXiv.2210.16227

M3 - Article

SN - 2331-8422

VL - 2022

JO - arXiv

JF - arXiv

M1 - 2210.16227

ER -

Recursive/Iterative unique Projection-Aggregation of RM codes

Samenvatting

Toegang tot document

Vingerafdruk

Citeer dit