• DocumentCode
    1537172
  • Title

    Searching for TCM codes using genetic algorithms

  • Author

    Soto, I. ; Carrasco, R.A.

  • Author_Institution
    Sch. of Eng., Staffordshire Univ., Stafford, UK
  • Volume
    144
  • Issue
    1
  • fYear
    1997
  • fDate
    2/1/1997 12:00:00 AM
  • Firstpage
    6
  • Lastpage
    10
  • Abstract
    The authors show a new approach to the search for convolutional codes using genetic algorithms. By the use of genetic algorithms, automatic classification of the convolutional codes and less computationally demanding algorithms are required to find and evaluate the most suitable codes. Also, code performance and complexity are evaluated
  • Keywords
    convolutional codes; genetic algorithms; search problems; trellis coded modulation; TCM codes; automatic classification; code complexity; code performance; convolutional codes; genetic algorithms; parallel processing; search algorithms;
  • fLanguage
    English
  • Journal_Title
    Communications, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2425
  • Type

    jour

  • DOI
    10.1049/ip-com:19971039
  • Filename
    580370
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1537172