• DocumentCode
    761635
  • Title

    Generalization of Results on Vector Sampling Expansion

  • Author

    Feuer, Arie ; Goodwin, Graham C. ; Cohen, Moche

  • Author_Institution
    Dept. of Electr. Eng., Haifa Univ.
  • Volume
    54
  • Issue
    10
  • fYear
    2006
  • Firstpage
    3805
  • Lastpage
    3814
  • Abstract
    This paper addresses the problem of parsimonious sampling of filtered signals. A vector of bandlimited signals is passed through a multiple-input multiple-output (MIMO) filter and then sampled. Conditions on the sampling rates are presented that allow for perfect reconstruction of the original signals. We extend previous results in two aspects. First, we allow for different bandwidths in signal vector entries while previous results were restricted to the same bandwidth in all entries. Second, we emphasize the parsimonious aspect of the sampling. Namely, in each case, including those previously treated, we highlight the gains which can be made via downsampling
  • Keywords
    bandlimited signals; filtering theory; signal reconstruction; signal sampling; bandlimited signals; filtered signals; multiple-input multiple-output filter; parsimonious sampling; perfect reconstruction; sampling rates; signal vector sampling expansion; Band pass filters; Bandwidth; Filter bank; MIMO; Multidimensional systems; Radar; Sampling methods; Sonar; Transmitters; Wireless communication; Generalized sampling; reconstruction; sampling;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2006.879310
  • Filename
    1703849