Convolution sampling and reconstruction of signals in a reproducing kernel subspace
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- by M. Zuhair Nashed, Qiyu Sun and Jun Xian PDF
- Proc. Amer. Math. Soc. 141 (2013), 1995-2007 Request permission
Abstract:
We consider convolution sampling and reconstruction of signals in certain reproducing kernel subspaces of $L^p, 1\le p\le \infty$. We show that signals in those subspaces could be stably reconstructed from their convolution samples taken on a relatively separated set with small gap. Exponential convergence and error estimates are established for the iterative approximation-projection reconstruction algorithm.References
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Additional Information
- M. Zuhair Nashed
- Affiliation: Department of Mathematics, University of Central Florida, Orlando, Florida 32816
- Email: zuhair.nashed@ucf.edu
- Qiyu Sun
- Affiliation: Department of Mathematics, University of Central Florida, Orlando, Florida 32816
- Email: qiyu.sun@ucf.edu
- Jun Xian
- Affiliation: Guangdong Province Key Laboratory of Computational Science and Department of Mathematics, Sun Yat-sen University, Guangzhou, 510275, People’s Republic of China
- Email: xianjun@mail.sysu.edu.cn
- Received by editor(s): September 18, 2011
- Published electronically: December 17, 2012
- Communicated by: Michael T. Lacey
- © Copyright 2012 American Mathematical Society
- Journal: Proc. Amer. Math. Soc. 141 (2013), 1995-2007
- MSC (2010): Primary 42C15, 41A15, 46A35, 94A12
- DOI: https://doi.org/10.1090/S0002-9939-2012-11644-2
- MathSciNet review: 3034426