Complete Identification of Permissible Sampling Rates for First-Order Sampling of Multi-Band Bandpass Signals

Yan Wu, Daniel F. Linder

Research output: Contribution to journalArticlepeer-review

Abstract

Abstract The first-order sampling of multi-band bandpass signals with arbitrary band positions is considered in this paper. Gaps between the spectral sub-bands are utilized to achieve lower sampling rates than the Nyquist. The lowest possible sampling rate along with other permissible sampling rates is identified via a unique partition of the frequency axis. With the complete identification of all the permissible sampling rates, a necessary and sufficient sampling theorem for multi-band bandpass signals is presented in terms of a series of csinc-interpolators.

Original languageAmerican English
JournalWSEAS Transactions on Mathematics
Volume8
StatePublished - Jan 1 2009

Keywords

  • Aliasing
  • Csinc-interpolation
  • First-order sampling
  • Multi-band bandpass signals
  • Nyquist rate
  • Permissible sampling rates
  • Sampling theorem

DC Disciplines

  • Public Health
  • Biostatistics
  • Community Health

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