• DocumentCode
    918138
  • Title

    Uniform linear prediction of bandlimited processes from past samples (Corresp.)

  • Author

    Brown, J.L., Jr.

  • Volume
    18
  • Issue
    5
  • fYear
    1972
  • fDate
    9/1/1972 12:00:00 AM
  • Firstpage
    662
  • Lastpage
    664
  • Abstract
    For x(t) either a deterministic or stochastic signal band-limited to the normalized frequency interval \\mid\\omega \\mid \\leq \\pi , explicit coefficients { a_{kn} } are exhibited that have the property that begin{equation} lim_{n rightarrow infty} parallel x(t) - sum_{1}^n a_{kn} x(t - kT) parallel = 0 end{equation} in an appropriate norm and for any constant intersample spacing T satisfying 0 < T < fac{1}{2} ; that is, x(t) may be approximated arbitrarily well by a linear combination of past samples taken at any constant rate that exceeds twice the associated Nyquist rate. Moreover, the approximation of x(t) is uniform in the sense that the coefficients { a_{kn} } do not depend on the detailed structure of x(t) but are absolute constants for any choice of T . The coefficients that are obtained provide a sharpening of a previous result by Wainstein and Zubakov where a rate in excess of three times the Nyquist rate was required.
  • Keywords
    Bandlimited stochastic processes; Prediction methods; Bridge circuits; Ellipsoids; Estimation theory; Frequency; Kernel; Linear systems; Parameter estimation; State estimation; Stochastic processes; Uncertain systems;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.1972.1054877
  • Filename
    1054877