DocumentCode
3006824
Title
The partial realization problem for moving average models
Author
Steinhardt, Allan O.
Author_Institution
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
fYear
1988
fDate
11-14 Apr 1988
Firstpage
2360
Abstract
The author considers the problem of finding the minimum-order moving average (MA) model which jointly matches a set of correlation, power spectral, and/or impulse response values. He provides a solution for the case when correlations alone, or correlations and spectral values are specified. The solution rests on a representation of the set of attainable correlation/spectral values which a given order MA model can produce in terms of the eigenstructure of certain Toeplitz matrices. When impulse response values are included, the problem complicates because certain key attainable sets become nonconvex. Bounds for this case, involving generalized eigenvalues are provided
Keywords
correlation methods; eigenvalues and eigenfunctions; spectral analysis; Toeplitz matrices; correlations; eigenstructure; generalized eigenvalues; impulse response values; moving average models; partial realization problem; power spectrum; spectral values; Eigenvalues and eigenfunctions; Equations; Finite impulse response filter; Kalman filters; Poles and zeros; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location
New York, NY
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1988.197114
Filename
197114
Link To Document