Title :
Covariance factorization via Newton-Raphson iteration
Author :
Anderson, Brian D O
fDate :
3/1/1978 12:00:00 AM
Abstract :
The solution of an integral equation arising in a covariance factorization problem is obtained by a Newton-Raphson iteration that is almost always globally convergent. Interpretations of the iterates are given, and the result is shown to specialize to known algorithms when the covariance is stationary with a rational Fourier transform.
Keywords :
Covariance factorization; Integral equations; Newton-Raphson methods; Australia; Control theory; Covariance matrix; Fourier transforms; H infinity control; Integral equations; Kernel; Stochastic processes; Vectors; White noise;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1978.1055859