• DocumentCode
    1184974
  • Title

    Multi-channel sampling of low-pass signals

  • Author

    Brown, John L., Jr.

  • Volume
    28
  • Issue
    2
  • fYear
    1981
  • fDate
    2/1/1981 12:00:00 AM
  • Firstpage
    101
  • Lastpage
    106
  • Abstract
    A deterministic signal x(t) band limited to |\\omega | < \\sigma is passed through m linear time-invariant filters (channels) to obtain the m outputs z_1(t),\\cdots ,Z_m(t) . If the filters are independent in a sense to be defined, then It Is shown that the common input x(t) may be reconstructed from samples of the outputs (Z_k) , each output being sampled at m \\Pi samples per second or (1/m) th the rate associated with the Input signal. A rigorous derivation of this result Is given which proceeds from a minimum error energy criterion and leads to a system of linear algebraic equations for the optimal reconstruction filters. The system of equations derived here, which differs from the system given recently by Papoulis [1], has the advantage of depending on only one parameter \\omega rather than on the two parameters \\omega and t ; it also puts into evidence the fact that the spectra of the optimal reconstruction filters can be pieced together directly, without additional computation, from the elements of the system\´s inverse matrix. Lastly, the solutions of the system obtained in the Papoulis formulation are shown to be time-varying linear combinations of the simpler one-parameter solutions.
  • Keywords
    Analog signal processing; Signal sampling/reconstruction; Circuits and systems; Equations; Fourier transforms; Frequency; Nonlinear filters; Sampling methods; Signal processing; Time varying systems; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-4094
  • Type

    jour

  • DOI
    10.1109/TCS.1981.1084954
  • Filename
    1084954