• DocumentCode
    3138681
  • Title

    Karhunen-Loeve-like expansions

  • Author

    Matevosyan, Ashot K.

  • Author_Institution
    Inst. of Problems of Inf. & Autom., Acad. of Sci., Yerevan, Armenia
  • fYear
    1995
  • fDate
    9-10 Jun 1995
  • Firstpage
    325
  • Lastpage
    327
  • Abstract
    Investigates the problem of the optimal orthogonal signal expansion for providing both the best signal approximation and non-correlated coefficients of expansion. Without the latter condition, the well-known solution of the best signal representation is given by the classical Fourier basis. This additional condition, however, provides Karhunen-Loeve expansion-like properties which are very useful in applied signal processing. Therefore, it is of major practical importance to describe Karhunen-Loeve-like signal expansion bases. We present an iterative algorithm converging to the solution of this this problem. It is also proven that this solution is unique
  • Keywords
    convergence; iterative methods; signal representation; transforms; Fourier basis; Karhunen-Loeve-like expansions; applied signal processing; best signal approximation; convergence; expansion bases; iterative algorithm; noncorrelated expansion coefficients; optimal orthogonal signal expansion; Automation; Decorrelation; Informatics; Iterative algorithms; Mean square error methods; Pattern recognition; Polynomials; Signal processing; Signal processing algorithms; Signal representations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 1995., Proceedings of the Eighth IEEE Symposium on
  • Conference_Location
    Lubbock, TX
  • Print_ISBN
    0-8186-7117-3
  • Type

    conf

  • DOI
    10.1109/CBMS.1995.465408
  • Filename
    465408