• DocumentCode
    417821
  • Title

    High-speed A/D conversion for ultra-wideband signals based on signal projection over basis functions

  • Author

    Hoyos, Sebastian ; Sadler, Brian M. ; Arce, Gonzalo R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA
  • Volume
    4
  • fYear
    2004
  • fDate
    17-21 May 2004
  • Abstract
    The paper introduces techniques to perform analog-to-digital (A/D) conversion, based on the quantization of the coefficients obtained by the projection of a continuous-time signal over an orthogonal space. This framework for A/D conversion is motivated by the sampling of an input signal in domains which may lead to lower levels of signal distortion and significantly less demanding A/D conversion characteristics. The A/D conversion distortion is reduced by assigning optimal bit rates according to the variance distribution of the coefficients. Moreover, since the quantization of the coefficients is realized at the end of a time window during which the signal is projected, the speed of the quantizers can be much lower than the one needed in conventional time-domain ADCs. In particular, we study ADC in the frequency domain which overcomes some of the difficulties encountered with conventional time-domain A/D conversion of signals with very large bandwidths, such as ultra-wideband (UWB) signals.
  • Keywords
    distortion; frequency-domain analysis; quantisation (signal); signal sampling; A/D conversion; UWB signals; analog-to-digital conversion; basis functions; continuous-time signal projection; frequency domain; quantization; signal distortion; signal sampling; time-domain ADC; ultra-wideband signals; variance distribution; Analog-digital conversion; Band pass filters; Bandwidth; Bit rate; Distortion; Laboratories; Quantization; Sampling methods; Time domain analysis; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8484-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2004.1326882
  • Filename
    1326882