• DocumentCode
    2201797
  • Title

    Simulation, MMSE estimation, and interpolation of sampled continuous-time signals using factor graphs

  • Author

    Bolliger, Lukas ; Loeliger, Hans-Andrea ; Vogel, Christian

  • Author_Institution
    Dept. of Inf. Technol. & Electr. Eng., ETH Zurich, Zurich, Switzerland
  • fYear
    2010
  • fDate
    Jan. 31 2010-Feb. 5 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The paper proposes a factor graph representation of finite-dimensional continuous-time linear systems /filters driven by white Gaussian noise. Applications of such factor graphs include (i) simulation of the output signal at arbitrary discrete instants and (ii) MAP /MMSE /LMMSE estimation of the input signal, or of the state, or of the output signal at arbitrary discrete instants from noisy observations of the output signal at arbitrary discrete instants. Moreover, it is suggested that the MMSE estimate of the input signal from the output signal may be viewed as a generalization of a bandlimited estimate that is suited for real filters.
  • Keywords
    Gaussian noise; continuous time systems; interpolation; least mean squares methods; linear systems; signal processing; white noise; MMSE estimation; arbitrary discrete instants; factor graph representation; finite dimensional continuous time linear systems; input signal; interpolation; output signal; sampled continuous time signals; white Gaussian noise; Autocorrelation; Gaussian noise; Information technology; Interpolation; Linear systems; Nonlinear filters; Sampling methods; Speech; State estimation; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Applications Workshop (ITA), 2010
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-7012-9
  • Electronic_ISBN
    978-1-4244-7014-3
  • Type

    conf

  • DOI
    10.1109/ITA.2010.5454111
  • Filename
    5454111