• DocumentCode
    1598083
  • Title

    Causal Spline Interpolation by Hα Optimization

  • Author

    Nagahara, Masaaki ; Wada, Tomotaka ; Yamamoto, Y.

  • Author_Institution
    Graduate Sch. of Informatics, Kyoto Univ.
  • fYear
    2006
  • Firstpage
    4160
  • Lastpage
    4163
  • Abstract
    Spline interpolation systems generally contain non-causal filters, and hence it is difficult to use such systems for real-time processing. Our objective is to design a causal system which approximates spline interpolation. This is formulated as a problem of designing a stable inverse of a system with unstable zeros. For this purpose, we adopt H alpha optimization. The Halpha-optimal inverse system can be effectively solved by standard MATLAB routines, and hence causal spline interpolation is obtained. A numerical example is presented to illustrate the result
  • Keywords
    Hinfin optimisation; control system analysis computing; interpolation; mathematics computing; splines (mathematics); Hinfin optimization; Matlab; causal spline interpolation; causal system; inverse system; IIR filters; Image converters; Image processing; Image sampling; Interpolation; Polynomials; Real time systems; Signal reconstruction; Signal sampling; Spline; H¿ optimization; interpolation; splines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE-ICASE, 2006. International Joint Conference
  • Conference_Location
    Busan
  • Print_ISBN
    89-950038-4-7
  • Electronic_ISBN
    89-950038-5-5
  • Type

    conf

  • DOI
    10.1109/SICE.2006.314722
  • Filename
    4108240
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1598083