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
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