• DocumentCode
    1422938
  • Title

    On the Covariance Completion Problem Under a Circulant Structure

  • Author

    Carli, Francesca P. ; Georgiou, Tryphon T.

  • Author_Institution
    Univ. of Padova, Padova, Italy
  • Volume
    56
  • Issue
    4
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    918
  • Lastpage
    922
  • Abstract
    Covariance matrices with a circulant structure arise in the context of discrete-time periodic processes and their significance stems also partly from the fact that they can be diagonalized via a Fourier transformation. This note deals with the problem of completion of partially specified circulant covariance matrices. The particular completion that has maximal determinant (i.e., the so-called maximum entropy completion) was considered in Carli where it was shown that if a single band is unspecified and to be completed, the algebraic restriction that enforces the circulant structure is automatically satisfied and that the inverse of the maximizer has a band of zero values that corresponds to the unspecified band in the data, i.e., it has the Dempster property. The purpose of the present note is to develop an independent proof of this result which in fact extends naturally to any number of missing bands as well as arbitrary missing elements. More specifically, we show that this general fact is a direct consequence of the invariance of the determinant under the group of transformations that leave circulant matrices invariant. A description of the complete set of all positive extensions of partially specified circulant matrices is also given and certain connections between such sets and the factorization of certain polynomials in many variables, facilitated by the circulant structure, is highlighted.
  • Keywords
    Fourier transforms; covariance matrices; discrete time systems; maximum entropy methods; Dempster property; Fourier transformation; circulant matrices; covariance completion problem; covariance matrices; discrete time periodic processes; maximum entropy completion; Covariance matrix; Eigenvalues and eigenfunctions; Entropy; Periodic structures; Polynomials; Signal processing algorithms; Software; Circulant matrices; maximum entropy; maximum likelihood; periodic processes;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2011.2105314
  • Filename
    5685257