On statistical identification of a class of linear space-invariant image blurs using non-minimum-phase ARMA models

Author

Tekalp, A. Murat ; Kaufman, Howard

Author_Institution

Dept. of Electr. Eng., Rochester Univ., NY, USA

Volume

36

Issue

8

fYear

1988

fDate

8/1/1988 12:00:00 AM

Firstpage

1360

Lastpage

1363

Abstract

An optimal statistical parameter estimation technique was previously presented by the authors (ibid., vol.ASSP-34, p.963-72) for the identification of a class of unknown linear systems that can be modeled by a zero-phase finite impulse response filter. This technique is now extended to a more general case using a spectrally equivalent minimum-phase (SEMP) representation of the system. The original zero-phase system parameters are computed from the SEMP model parameters

Keywords

digital filters; filtering and prediction theory; parameter estimation; picture processing; ARMA models; digital filter; linear space-invariant image blurs; optimal statistical parameter estimation technique; spectrally equivalent minimum-phase; statistical identification; unknown linear systems; zero-phase finite impulse response filter; Area measurement; Frequency estimation; Frequency measurement; Goniometers; Measurement standards; Parameter estimation; Position measurement; Sea measurements; Shape measurement; Time measurement;

fLanguage

English

Journal_Title

Acoustics, Speech and Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

0096-3518

Type

jour

DOI

10.1109/29.1666

Filename

1666