Dimensions of Channel Coding: From Theory to Algorithms to Applications

Tuvi Etzion; Paul H. Siegel; Han Mao Kiah; Hessam Mahdavifar; Farzad Parvaresh; Moshe Schwartz; Ido Tal; Eitan Yaakobi; Xinmiao Zhang

doi:10.1109/JSAIT.2023.3338326

Dimensions of Channel Coding: From Theory to Algorithms to Applications

Tuvi Etzion, Paul H. Siegel, Han Mao Kiah, Hessam Mahdavifar, Farzad Parvaresh, Moshe Schwartz, Ido Tal, Eitan Yaakobi, Xinmiao Zhang

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	V-XIII
Journal	IEEE Journal on Selected Areas in Information Theory
Volume	4
DOIs	https://doi.org/10.1109/JSAIT.2023.3338326
State	Published - 2023

ASJC Scopus subject areas

Computer Networks and Communications
Media Technology
Artificial Intelligence
Applied Mathematics

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10.1109/JSAIT.2023.3338326

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title = "Dimensions of Channel Coding: From Theory to Algorithms to Applications",

author = "Tuvi Etzion and Siegel, {Paul H.} and Kiah, {Han Mao} and Hessam Mahdavifar and Farzad Parvaresh and Moshe Schwartz and Ido Tal and Eitan Yaakobi and Xinmiao Zhang",

year = "2023",

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language = "אנגלית",

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AU - Etzion, Tuvi

AU - Siegel, Paul H.

AU - Kiah, Han Mao

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AU - Parvaresh, Farzad

AU - Schwartz, Moshe

AU - Tal, Ido

AU - Yaakobi, Eitan

AU - Zhang, Xinmiao

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VL - 4

SP - V-XIII

JO - IEEE Journal on Selected Areas in Information Theory

JF - IEEE Journal on Selected Areas in Information Theory

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Dimensions of Channel Coding: From Theory to Algorithms to Applications

ASJC Scopus subject areas

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