Title :
Matrix two-dimensional spectral factorization
Author_Institution :
Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA
fDate :
8/1/1993 12:00:00 AM
Abstract :
The existence of an asymmetric half-plane spectral factorization for a nonnegative two-dimensional matrix-valued spectral density is established under the conditions that the density and the logarithm of the determinant of the density are absolutely integrable on the torus. The proof gives a construction of the factors in terms of a family of one-dimensional spectral factorizations. An efficient algorithm for calculating the two-dimensional spectral factorization is thereby obtained; G.T. Wilson´s (1972) one-dimensional factorization algorithm appears to be the most suitable for this purpose. In the case where the initial array is of finite extent, it is shown that the factors have constant (minimal) order in the `causal´ direction, and that, if a finite-support array has a quarter-plane spectral factorization, the spectral factors must also be of finite support
Keywords :
information theory; matrix algebra; signal processing; asymmetric half-plane spectral factorization; nonnegative two-dimensional matrix-valued spectral density; one-dimensional factorization algorithm; two-dimensional spectral factorization; Circuits; Computational complexity; Convergence; Filters; Matrix decomposition; Multidimensional systems; Signal design; Signal processing; Signal processing algorithms; Stochastic processes;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on