• DocumentCode
    3653678
  • Title

    Maximum likelihood sequence estimation in channels with intersymbol interference and noise memory

  • Author

    A. Kavcic;J.M.F. Moura

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1998
  • Firstpage
    366
  • Abstract
    We extend the Viterbi algorithm to observable sequences with memory and demonstrate that the complexity of the solution remains only linearly proportional to the sequence length, as long as the memory of the observable process is Markov.
  • Keywords
    "Maximum likelihood estimation","Intersymbol interference","Additive noise","Viterbi algorithm","Detectors","Working environment noise","Finite impulse response filter","Maximum likelihood detection","Digital communication","Pulse modulation"
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
  • Print_ISBN
    0-7803-5000-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1998.708971
  • Filename
    708971
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3653678