• DocumentCode
    2335359
  • Title

    Series expansions for the distribution of noncentral indefinite quadratic forms in complex normal variables

  • Author

    Raphaeli, Dan

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
  • fYear
    1995
  • fDate
    7-8 March 1995
  • Abstract
    A new series expansion is developed for the probability distribution function and the cumulative distribution function for indefinite noncentral Hermitian quadratic forms in complex normal random variables. The moment generating function is inverted by contour integration using the Residue theorem. The function is separated into two parts, one part, containing an essential singularity, is expanded by Laurent series and the other part is expanded by Taylor series. The series are combined for evaluating the residue of the complete function. Several different series can be obtained by modifications of the basic approach. The series are computationally efficient and normally fast converging. The convergence rate depends on the eigenvalues separation. Multiple eigenvalues are allowed, and can be used to approximately replace a close pair of eigenvalues.
  • Keywords
    convergence; eigenvalues and eigenfunctions; information theory; probability; series (mathematics); Hermitian quadratic forms; Laurent series; Taylor series; complex normal variables; contour integration; convergence rate; cumulative distribution function; eigenvalues separation; multiple eigenvalues; noncentral indefinite quadratic forms; probability distribution function; residue theorem; series expansion; singularity; Array signal processing; Convergence; Covariance matrix; Distribution functions; Eigenvalues and eigenfunctions; Random variables; Statistical analysis; Statistical distributions; Statistics; Taylor series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel, 1995., Eighteenth Convention of
  • Conference_Location
    Tel Aviv, Israel
  • Print_ISBN
    0-7803-2498-6
  • Type

    conf

  • DOI
    10.1109/EEIS.1995.513844
  • Filename
    513844