• DocumentCode
    455051
  • Title

    Sampled Signal Reconstruction Via H2Optimization

  • Author

    Meinsma, Gjerrit ; Mirkin, Leonid

  • Author_Institution
    Dept. of Appl. Math., Twente Univ., Enschede
  • Volume
    3
  • fYear
    2006
  • fDate
    14-19 May 2006
  • Abstract
    In this paper the sampled signal reconstruction problem is formulated and solved as the sampled-data H2 smoothing problem, in which an analog reconstruction error is minimized. Both infinite (non-causal reconstructors) and finite (reconstructors with relaxed causality) preview cases are considered. The optimal reconstructors are in the form of the cascade of a discrete-time smoother and a generalized hold (interpolator). In the particular case of reconstructing polynomial signals with infinite preview, the proposed procedure recovers the cardinal B-spline reconstructors
  • Keywords
    signal reconstruction; signal sampling; smoothing methods; splines (mathematics); H2 optimization; analog reconstruction error minimization; cardinal B-spline reconstructors; discrete-time smoother; polynomial signals; sampled signal reconstruction problem; sampled-data H2 smoothing problem; Bandwidth; Circuits; Delay; Digital filters; Hydrogen; Polynomials; Signal design; Signal reconstruction; Spline; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0469-X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2006.1660666
  • Filename
    1660666
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=455051