Spectral estimation via complementary models

Author

Rhodes, I. ; Constantinides, A.G.

Author_Institution

Imperial Coll. of Sci., Technol. & Med., London, UK

fYear

1991

fDate

11-14 Jun 1991

Firstpage

2769

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1991., IEEE International Sympoisum on

Print_ISBN

0-7803-0050-5

Type

conf

DOI

10.1109/ISCAS.1991.176118

Filename

176118

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2823202