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Soft Information Postprocessing for Chase-Pyndiah Decoding Based on Generalized Mutual Information

Straßhofer, Andreas (2022) Soft Information Postprocessing for Chase-Pyndiah Decoding Based on Generalized Mutual Information. Master's, Technnische Universität München.

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Item URL in elib:https://elib.dlr.de/191842/
Document Type:Thesis (Master's)
Additional Information:Dr. Gianluigi Liva (DLR)
Title:Soft Information Postprocessing for Chase-Pyndiah Decoding Based on Generalized Mutual Information
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Straßhofer, AndreasKN SANUNSPECIFIEDUNSPECIFIED
Date:October 2022
Refereed publication:No
Open Access:No
Number of Pages:77
Status:Published
Keywords:Chase-Pyndiah Decoding, Binary Linear Block Codes, Monte-Carlo Density Evolution
Institution:Technnische Universität München
Department:Lehrstuhl für Nachrichtentechnik
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Satellite Networks
Deposited By: Lang, Manuela
Deposited On:09 Dec 2022 18:59
Last Modified:23 Jan 2023 17:25

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