A new Levinson-Durbin based 2-D AR model parameter estimation method

DOI10.1007/s11045-014-0305-4zbMath1367.93636OpenAlexW2009185161MaRDI QIDQ2014183

Mahdi Zeinali, Masoud Shafiee

Publication date: 10 August 2017

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-014-0305-4

zbMATH Keywords

parameter estimationLevinson-Durbin algorithmquarter-plane autoregressive modeltwo dimensional series

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (2)

Two-dimensional noisy autoregressive estimation with application to joint frequency and direction of arrival estimation ⋮ Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering

Uses Software

• astsa

Cites Work

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• A recursive algorithm for solving the spatial Yule-Walker equations of causal spatial AR models
• Generalized Levinson--Durbin and Burg algorithms.
• A rank test based approach to order estimation. I. 2-D AR models application
• Two-dimensional autoregressive (2-D AR) model order estimation
• An order-recursive algorithm to solve the 3-D Yule-Walker equations of causal 3-D AR models
• Two-dimensional spectral estimation
• Time-Series Forecasting
• New Efficient 2-D Lattice Structures for General Autoregressive Modeling of Random Fields

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