• DocumentCode
    1162276
  • Title

    Norm variance of minimax interpolation

  • Author

    Willis, N. Parker ; Bresler, Yoram

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    38
  • Issue
    3
  • fYear
    1992
  • fDate
    5/1/1992 12:00:00 AM
  • Firstpage
    1177
  • Lastpage
    1181
  • Abstract
    Minimax-optimal interpolation algorithms minimize the error resulting from the worst signal from an allowable class. The result is presented that if this class lies in a Hilbert space, the minimax-optimal algorithm is independent of or invariant to the error norm. The result encompasses a broad class of inverse problems
  • Keywords
    error analysis; information theory; interpolation; inverse problems; minimax techniques; signal processing; Hilbert space; bandlimited signals; error norm; inverse problems; minimax interpolation; minimax-optimal algorithm; norm variance; signal analysis; Frequency; Hilbert space; Interpolation; Inverse problems; Minimax techniques; Minimization methods; Particle measurements; Sampling methods; Speech processing; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.135664
  • Filename
    135664
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1162276