Formula for the Steady-State Gain of a Recursive Estimator

S. N. Efstratiadis; A. K. Katsaggelos

doi:10.1049/el:19901076

Formula for the Steady-State Gain of a Recursive Estimator

S. N. Efstratiadis, A. K. Katsaggelos

MRC - Materials Research Center

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2 Scopus citations

Abstract

A formula for the direct computation of the steady-state gain of a recursive estimator is derived. The estimator is presented as a general 3-D recursive filter for noise smoothing of 3-D wide-sense Markov fields. The 1-D and 2-D estimators are special cases of the general filter presented. The filter with its steady-state gain computed from the derived formula is very useful because of its computational efficiency.

Original language	English (US)
Pages (from-to)	1682-1684
Number of pages	3
Journal	Electronics Letters
Volume	26
Issue number	20
DOIs	https://doi.org/10.1049/el:19901076
State	Published - Jan 1990

Keywords

Image processing
Markov fields
Recursive estimation

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1049/el:19901076

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abstract = "A formula for the direct computation of the steady-state gain of a recursive estimator is derived. The estimator is presented as a general 3-D recursive filter for noise smoothing of 3-D wide-sense Markov fields. The 1-D and 2-D estimators are special cases of the general filter presented. The filter with its steady-state gain computed from the derived formula is very useful because of its computational efficiency.",

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year = "1990",

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AU - Efstratiadis, S. N.

AU - Katsaggelos, A. K.

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Y1 - 1990/1

N2 - A formula for the direct computation of the steady-state gain of a recursive estimator is derived. The estimator is presented as a general 3-D recursive filter for noise smoothing of 3-D wide-sense Markov fields. The 1-D and 2-D estimators are special cases of the general filter presented. The filter with its steady-state gain computed from the derived formula is very useful because of its computational efficiency.

AB - A formula for the direct computation of the steady-state gain of a recursive estimator is derived. The estimator is presented as a general 3-D recursive filter for noise smoothing of 3-D wide-sense Markov fields. The 1-D and 2-D estimators are special cases of the general filter presented. The filter with its steady-state gain computed from the derived formula is very useful because of its computational efficiency.

KW - Image processing

KW - Markov fields

KW - Recursive estimation

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ER -

Formula for the Steady-State Gain of a Recursive Estimator

Abstract

Keywords

ASJC Scopus subject areas

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