• DocumentCode
    747208
  • Title

    Cardinal exponential splines: part II - think analog, act digital

  • Author

    Unser, Michael

  • Author_Institution
    Biomed. Imaging Group, EPFL, Lausanne, Switzerland
  • Volume
    53
  • Issue
    4
  • fYear
    2005
  • fDate
    4/1/2005 12:00:00 AM
  • Firstpage
    1439
  • Lastpage
    1449
  • Abstract
    By interpreting the Green-function reproduction property of exponential splines in signal processing terms, we uncover a fundamental relation that connects the impulse responses of allpole analog filters to their discrete counterparts. The link is that the latter are the B-spline coefficients of the former (which happen to be exponential splines). Motivated by this observation, we introduce an extended family of cardinal splines-the generalized E-splines-to generalize the concept for all convolution operators with rational transfer functions. We construct the corresponding compactly supported B-spline basis functions, which are characterized by their poles and zeros, thereby establishing an interesting connection with analog filter design techniques. We investigate the properties of these new B-splines and present the corresponding signal processing calculus, which allows us to perform continuous-time operations, such as convolution, differential operators, and modulation, by simple application of the discrete version of these operators in the B-spline domain. In particular, we show how the formalism can be used to obtain exact, discrete implementations of analog filters. Finally, we apply our results to the design of hybrid signal processing systems that rely on digital filtering to compensate for the nonideal characteristics of real-world analog-to-digital (A-to-D) and D-to-A conversion systems.
  • Keywords
    Green´s function methods; analogue-digital conversion; convolution; filtering theory; modulation; signal representation; signal sampling; splines (mathematics); transient response; B-spline basis function; Green´s function; analog filter; analog signal processing; differential system; digital filtering; exponential spline; hybrid signal processing; impulse response; modulation; signal convolution; signal sampling; transfer function; Calculus; Convolution; Digital filters; Digital signal processing; Filtering; Poles and zeros; Signal design; Signal processing; Spline; Transfer functions; A-to-D and D-to-A conversion; Analog signal processing; differential systems; filter design; hybrid signal processing; sampling; splines;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2005.843699
  • Filename
    1408194