• DocumentCode
    2212602
  • Title

    No minimum rate multisampling of a Fourier series

  • Author

    Grotenhuis, Michael G.

  • Author_Institution
    Div. of Emerson Process Manage., Rosemount, Inc., Chanhassen, MN, USA
  • fYear
    2006
  • fDate
    4-8 Sept. 2006
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    I examine the possibility of sampling a Fourier series with multiple, uniform rates that are not required to be larger than any particular frequency. This is allowed because convolution of a Fourier series with a train of delta functions in the Fourier domain causes overlap in the Fourier domain only in isolated cases. Furthermore, I can restrict this overlap to not occur in more than one sampled transform. I use three different sampling rates, not required to be greater than any particular frequency, yet satisfying certain irrational relationships, which I specify. The three separate Fourier domains from each rate are compared, and a filter is used which outputs only those terms which are common to all three. In some cases, it might be necessary to introduce a fourth sampling rate. The result is that the original Fourier series is obtained from the filter and inverse transform.
  • Keywords
    Fourier series; inverse transforms; signal sampling; Fourier series convolution; delta functions; inverse transform; minimum rate multisampling; Abstracts; Fourier series; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2006 14th European
  • Conference_Location
    Florence
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7071094