• DocumentCode
    1323730
  • Title

    Sub-Nyquist Sampling

  • Author

    Mishali, Moshe ; Eldar, Yonina C.

  • Volume
    28
  • Issue
    6
  • fYear
    2011
  • Firstpage
    98
  • Lastpage
    124
  • Abstract
    In this article, we review sampling strategies that target reduction of the ADC rate below Nyquist. Our survey covers classic works from the early 1950s through recent publications from the past several years. The prime focus is bridging theory and practice, that is, to pinpoint the potential of sub-Nyquist strategies to emerge from the math to the hardware. In this spirit, we integrate contemporary theoretical viewpoints, which study signal modeling in a union of subspaces, together with a taste of practical aspects, more specifically how the avant-garde modalities boil down to concrete signal processing systems. Our hope is that this presentation style will attract the interest of both researchers and engineers with the aim of promoting the sub-Nyquist premise into practical applications while encouraging further research into this exciting new frontier.
  • Keywords
    signal sampling; bridging theory; signal modeling; signal processing systems; sub-Nyquist sampling; Computational modeling; Demodulation; Digital signal processing; Sampling methods; Shannon-Nyquist theorems;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2011.942308
  • Filename
    6021873