Title :
Spectral estimation via complementary models
Author :
Rhodes, I. ; Constantinides, A.G.
Author_Institution :
Imperial Coll. of Sci., Technol. & Med., London, UK
Abstract :
A general decomposition scheme is proposed. It utilizes any a priori knowledge in a localized process model. By use of a multivariable (ny×nu) analysis filter, the observation space may be decomposed by (possibly disjoint) complementary transformation, where within each subspace alternative (possibly conflicting) constraints may be applied, enforcing known structure within subspaces
Keywords :
dynamic programming; filtering and prediction theory; signal processing; spectral analysis; a priori knowledge; complementary models; complementary transformation; constraints; decomposition; dynamic programming; localized process model; multivariable analysis filter; observation space; spectral estimation; Equations; Error correction; Finite impulse response filter; IIR filters; Lattices; Least squares methods; Nonlinear filters; Reflection; Space technology; Subspace constraints;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176118
