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
Link To Document :
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