Adaptive algorithm for estimation of two-dimensional autoregressive fields from noisy observations (Q2019187)
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scientific article; zbMATH DE number 6420146
| Language | Label | Description | Also known as |
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| English | Adaptive algorithm for estimation of two-dimensional autoregressive fields from noisy observations |
scientific article; zbMATH DE number 6420146 |
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Adaptive algorithm for estimation of two-dimensional autoregressive fields from noisy observations (English)
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27 March 2015
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Summary: This paper deals with the problem of two-dimensional autoregressive (AR) estimation from noisy observations. The Yule-Walker equations are solved using adaptive steepest descent (SD) algorithm. Performance comparisons are made with other existing methods to demonstrate merits of the proposed method.
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autoregressive fields
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estimation
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noisy observations
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adaptive algorithm
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convergence analysis
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