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Guessing Random Additive Noise Decoding A Hardware Perspective /

This book gives a detailed overview of a universal Maximum Likelihood (ML) decoding technique, known as Guessing Random Additive Noise Decoding (GRAND), has been introduced for short-length and high-rate linear block codes. The interest in short channel codes and the corresponding ML decoding algori...

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Bibliografski detalji
Glavni autori: Abbas, Syed Mohsin (Autor), Jalaleddine, Marwan (Autor), Gross, Warren J. (Autor)
Autor kompanije: SpringerLink (Online service)
Format: Elektronički e-knjiga
Jezik:engleski
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Izdanje:1st ed. 2023.
Teme:
Coding theory.
Information theory.
Telecommunication.
Logic design.
Computer arithmetic and logic units.
Coding and Information Theory.
Communications Engineering, Networks.
Logic Design.
Arithmetic and Logic Structures.
Online pristup:https://doi.org/10.1007/978-3-031-31663-0
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Sadržaj:
  • Guessing Random Additive Noise Decoding (GRAND)
  • Hardware Architecture for GRAND with ABandonment (GRANDAB)
  • Hardware Architecture for Ordered Reliability Bits GRAND (ORBGRAND)
  • Hardware Architecture for List GRAND (LGRAND)
  • Hardware Architecture for GRAND Markov Order (GRAND-MO)
  • Hardware Architecture for Fading-GRAND
  • A survey of recent GRAND variants.

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