• DocumentCode
    1606670
  • Title

    Kernel approach to discrete-time linear scale-invariant systems

  • Author

    Lee, Seungsin ; Rao, Raghuveer

  • Author_Institution
    Center for Imaging Sci., Rochester Inst. of Technol., NY, USA
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    62
  • Lastpage
    65
  • Abstract
    Zhao and Rao (1998) have proposed linear scale-invariant systems that operate with continuous dilation but in discrete-time. This was done through a discrete-time continuous-dilation operator which tacitly uses warping transforms such as bilinear transforms to implement conversion from discrete time frequency to continuous time frequency. This paper introduces a more general method based on kernels for effecting the dilation. It is shown that the warping function based scaling is a special case. The kernel approach results in an alternative formulation of discrete-time linear scale-invariant systems that possesses desirable properties not seen in the earlier formulation
  • Keywords
    discrete time systems; linear systems; mathematical operators; signal processing; transforms; bilinear transforms; continuous time frequency; discrete time frequency; discrete-time continuous-dilation operator; discrete-time linear scale-invariant systems; discrete-time signal; kernel approach; self-similarity; warping function based scaling; warping transforms; Discrete transforms; Fourier transforms; Kernel; Network synthesis; Random processes; Signal generators; Signal synthesis; Telecommunication traffic; Time frequency analysis; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
  • Print_ISBN
    0-7803-7011-2
  • Type

    conf

  • DOI
    10.1109/SSP.2001.955222
  • Filename
    955222