Title :
Additive and multiplicative minimum-phase decompositions of 2-D rational power density spectra
Author :
Marzetta, Thomas L.
fDate :
4/1/1982 12:00:00 AM
Abstract :
This paper considers the multiplicative and additive minimum-phase decompositions of a two-dimensional (2-D) rational power density spectrum (commonly known as the spectral factorization and partial fraction expansion problems). It is shown that both of these decompositions generally involve filters which are ratios of 2-D minimum-phase filters, with finite support in one variable, and infinite support in the other variable. It is shown that a sufficient condition for a 2-D autoregressive (AR) spectrum to have a rational additive decomposition is for the minimum-phase whitening filter to have finite reflection coefficient support.
Keywords :
DSP; Digital signal processing (DSP); Multidimensional signal processing; Partial fraction expansions; Spectral factorizations; Convolution; Convolutional codes; Filters; Multidimensional systems; Radar signal processing; Signal processing; Space technology; Spaceborne radar; System analysis and design; Two dimensional displays;
Journal_Title :
Circuits and Systems, IEEE Transactions on
DOI :
10.1109/TCS.1982.1085138