Weighted sampling and signal reconstruction in spline subspaces

  • Authors:
  • Jun Xian;Shi-Ping Luo;Wei Lin

  • Affiliations:
  • Department of Mathematics, Zhejiang University, Hangzhou, PR China;Department of Mathematics, South China Normal University, Guangzhou, PR China;Department of Mathematics, Sun Yat-sen University, Guangzhou, PR China

  • Venue:
  • Signal Processing
  • Year:
  • 2006

Quantified Score

Hi-index 0.09

Visualization

Abstract

In this paper, we construct a reproducing kernel in spline subspaces and use the reproducing kernel to obtain a reconstruction formula from the weighted samples and incremental integral samples. We also improve the A-P iterative algorithm, and use the algorithm to implement the reconstruction from weighted samples, and obtain the explicit convergence rate of the algorithm in spline subspaces.