• DocumentCode
    2867589
  • Title

    Multi-channel signal reconstruction using noisy samples

  • Author

    Brown, John L., Jr. ; Cabrera, Sergio D.

  • Author_Institution
    Dept. of Electr. & Comp. Eng., Ohio Univ., Athens, OH, USA
  • fYear
    1990
  • fDate
    3-6 Apr 1990
  • Firstpage
    1233
  • Abstract
    The generalized multichannel sampling theorem of A. Papoulis (1977) assumes a bandlimited signal simultaneously processed by a bank of m linear time-invariant (LTI) prefilters; the filter outputs are then sampled and the original signal recovered from these samples by means of m LTI postfilters. Consideration is given to the stability (well-posedness) of the signal reconstruction with respect to additive noise perturbations of the sample values. It is shown that the reconstruction is stable if and only if the postfilter transfer functions are square integrable, thus proving a converse to the ill-posedness result K.F. Cheung and R.J. Marks (1985) while giving an alternative proof of their theorem
  • Keywords
    digital filters; random noise; signal processing; transfer functions; Cheung-Marks theorem; additive noise perturbations; bandlimited signal; generalized multichannel sampling theorem; linear time-invariant postfilters; multichannel signal reconstruction; postfilter transfer functions; well-posedness conditions; Additive noise; Equations; Fourier transforms; Frequency; Interpolation; Nonlinear filters; Sampling methods; Signal processing; Signal reconstruction; Signal sampling; Stability; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1990.115595
  • Filename
    115595