TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Design of quantized decoders for polar codes using the information bottleneck method
 
Options

Design of quantized decoders for polar codes using the information bottleneck method

Publikationstyp
Conference Paper
Date Issued
2019-02
Sprache
English
Author(s)
Shah, Aizaz  
Stark, Maximilian  orcid-logo
Bauch, Gerhard  
Institut
Nachrichtentechnik E-8  
TORE-URI
http://hdl.handle.net/11420/3634
Citation
International Conference on Systems, Communications and Coding (2019)
Contribution to Conference
12th International ITG Conference on Systems, Communications and Coding, SCC 2019  
Publisher DOI
10.30420/454862008
Scopus ID
2-s2.0-85079934302
Publisher
VDE Verlag
Polar codes are a relatively new introduction to the family of forward error correcting codes. This work deals with reducing the implementation complexity of polar decoders. To that end, a discrete successive cancellation list decoder is developed which mostly processes only unsigned integers instead of LLR values. Further, all operations inside the discrete decoder are simple table lookups. These two modifications lead to reduction in the complexity of the decoder. We show that the block error rate performance of the proposed discrete decoder is very close to that of the conventional successive cancellation list decoder.
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback