Localization of the generalized sampling series and its numerical application

  • Authors:
  • Liwen Qian;Dennis B. Creamer

  • Affiliations:
  • -;-

  • Venue:
  • SIAM Journal on Numerical Analysis
  • Year:
  • 2006

Quantified Score

Hi-index 0.01

Visualization

Abstract

We study the localization of the sampling series with general kernel and obtain its error estimates. To achieve exponentially decaying accuracy for the series to approximate a band-limited function and its derivatives, a sufficient condition is given and a rigorous criterion is provided for the sampling to obtain any desired accuracy. The result includes several known results as special cases and gives new results about wavelet sampling series.