• DocumentCode
    2257486
  • Title

    A class of iterative signal restoration algorithms

  • Author

    Noonan, Joseph P. ; Natarajan, Prcmkumar ; Achour, Baaziz

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Tufts Univ., Medford, MA, USA
  • fYear
    1995
  • fDate
    17-22 Sep 1995
  • Firstpage
    115
  • Abstract
    Iterative methods have of late enjoyed increasing popularity in signal restoration problems. Inherent mathematical difficulties have led researchers to propose ad hoc solutions in many instances. The question of optimality of such solutions is an open one. This paper concerns this question for a class of iterative methods of signal restoration and offers a criterion for optimality based on information theory
  • Keywords
    information theory; iterative methods; optimisation; signal restoration; information theory; iterative signal restoration algorithms; mapping function; mathematical difficulties; optimality; Acoustic noise; Distortion; Image restoration; Iterative algorithms; Iterative methods; Mutual information; Robustness; Signal processing; Signal processing algorithms; Signal restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
  • Conference_Location
    Whistler, BC
  • Print_ISBN
    0-7803-2453-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1995.531319
  • Filename
    531319