• DocumentCode
    1749208
  • Title

    A statistical solution to a text decoding challenge problem

  • Author

    Cai, Xindi ; Xu, Rui ; Samaranayake, V.A. ; Wunsch, Donald C., II

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri Univ., Rolla, MO, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1043
  • Abstract
    Given an encoded unknown text message in the form of a three dimensional spatial series generated by the use of four smooth nonlinear functions, we use a method based on simple statistical reasoning to pick up samples for rebuilding the four functions. The estimated functions are then used to decode the sequence. The experimental results show that our method gives a nearly perfect decoding, enabling us to submit a 100% accurate solution to the IJCNN challenge problem
  • Keywords
    binary sequences; decoding; nonlinear functions; statistical analysis; IJCNN challenge problem; encoded unknown text message; nearly perfect decoding; smooth nonlinear functions; statistical reasoning; statistical solution; text decoding; three dimensional spatial series; Binary sequences; Computational intelligence; Decoding; Distributed computing; Encoding; Laboratories; Mathematics; Random variables; Smoothing methods; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7044-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2001.939504
  • Filename
    939504