Title :
Distribution of noncentral indefinite quadratic forms in complex normal variables
Author_Institution :
Dept. of Electr. Eng. Syst., Tel Aviv Univ., Israel
fDate :
5/1/1996 12:00:00 AM
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 separation of the eigenvalues. Multiple eigenvalues are allowed, and can be used to approximately replace a close pair of eigenvalues
Keywords :
Hermitian matrices; convergence of numerical methods; eigenvalues and eigenfunctions; integration; probability; random processes; residue number systems; series (mathematics); statistical analysis; Laurent series; Taylor series; complex normal random variables; complex normal variables; contour integration; convergence rate; cumulative distribution function; eigenvalues; indefinite noncentral Hermitian quadratic forms; moment generating function; noncentral indefinite quadratic forms; probability distribution function; residue theorem; series expansion; singularity; Array signal processing; Convergence; Covariance matrix; Distribution functions; Diversity reception; Eigenvalues and eigenfunctions; Probability density function; Probability distribution; Random variables; Statistics;
Journal_Title :
Information Theory, IEEE Transactions on