Complete identification of permissible sampling rates for the first-order sampling of multi-band bandpass signals

Authors:
Yan Wu;Daniel F. Linder
Affiliations:
Department of Mathematical Sciences, Georgia Southern University, Statesboro, GA;Department of Mathematical Sciences, Georgia Southern University, Statesboro, GA
Venue:
WSEAS Transactions on Mathematics
Year:
2009

Citing 4
Cited 0

Digital signal processing (3rd ed.): principles, algorithms, and applications

Digital signal processing (3rd ed.): principles, algorithms, and applications
A proof on the minimum and permissible sampling rates for the first-order sampling of bandpass signals

Digital Signal Processing
A universal interpolative filter for low-pass and bandpass signals---CSINC interpolator

Digital Signal Processing
Nonuniform sampling theorems for bandpass signals at or below theNyquist density

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

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.