Adaptive algorithm for estimation of two-dimensional autoregressive fields from noisy observations
From MaRDI portal
Publication:2019187
DOI10.1155/2014/247274zbMath1349.62450OpenAlexW2015408878WikidataQ59046999 ScholiaQ59046999MaRDI QIDQ2019187
Publication date: 27 March 2015
Published in: International Journal of Stochastic Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/247274
Random fields (60G60) Random fields; image analysis (62M40) Non-Markovian processes: estimation (62M09)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Long-tail distribution based multiscale-multiband autoregressive detection for hyperspectral imagery
- Two dimensional autoregressive estimation from noisy observations as a quadratic eigenvalue problem
- Estimation of the parameters of multichannel autoregressive signals from noisy observations
- Two-dimensional autoregressive (2-D AR) model order estimation
- Autoregressive parameter estimation from noisy data
- Noncausal 2-D spectrum estimation for direction finding
- Broad-band detection based on two-dimensional mixed autoregressive models
- Modeling 2-D AR Processes With Various Regions of Support
- New Efficient 2-D Lattice Structures for General Autoregressive Modeling of Random Fields
- Model identification of a noncausal 2-D ar process using a causal 2-D AR model on the nonsymmetric half-plane
This page was built for publication: Adaptive algorithm for estimation of two-dimensional autoregressive fields from noisy observations