Generalized inverses and sampling problems

作者:Laura Arias M; Conde Cristian*
来源:Journal of Mathematical Analysis and Applications, 2013, 398(2): 744-751.
DOI:10.1016/j.jmaa.2012.09.017

摘要

Sampling theory is concerned with the problem of reconstructing a signal f in a Hilbert space from a given a collection of sampled values off. If a certain decomposition of the Hilbert space is possible (in terms of the sampling and reconstruction subspaces) then a consistent reconstruction can be obtained. In this paper we treat the case in which such a decomposition cannot be found. For this situation, we study the quasi-consistent reconstructions which are an extension of the consistent reconstructions. We relate the previous concepts to generalized inverses. We also present some new results and problems regarding consistent sampling.

  • 出版日期2013-2-15

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