DocumentCode :
1068023
Title :
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
Link To Document :
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