Frames: a maximum entropy statistical estimate of the inverse problem

L. Rebollo-Neira, J. Fernandez-Rubio, A. Plastino

Research output: Contribution to journalArticle

Abstract

A maximum entropy statistical treatment of an inverse problem concerning frame theory is presented. The problem arises from the fact that a frame is an overcomplete set of vectors that defines a mapping with no unique inverse. Although any vector in the concomitant space can be expressed as a linear combination of frame elements, the coefficients of the expansion are not unique. Frame theory guarantees the existence of a set of coefficients which is “optimal” in a minimum norm sense. We show here that these coefficients are also “optimal” from a maximum entropy viewpoint.
Original languageEnglish
Pages (from-to)4863-4871
Number of pages9
JournalJournal of Mathematical Physics
Volume38
Issue number9
DOIs
Publication statusPublished - 1997

Bibliographical note

Copyright 1997 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in Rebollo - Neira, Laura; Fernandez-Rubio, J.; Fern, J. and Plastino, A. (1997) Frames: a maximum entropy statistical estimate of the inverse problem. Journal of Mathematical Physics, 38 (9). pp. 4863-4871. ISSN 0022-2488 and may be found at http://jmp.aip.org/jmapaq/v38/i9/p4863_s1

Keywords

  • maximum entropy statistical treatment
  • inverse problem
  • frame theory
  • overcomplete set of vectors
  • mapping
  • no unique inverse

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