Sampling From Gaussian Markov Random Fields Using Stationary and Non-Stationary Subgraph Perturbations

DOI10.1109/TSP.2014.2375134zbMath1394.94342OpenAlexW2082089002MaRDI QIDQ4579707

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Publication date: 22 August 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2014.2375134

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Markov processes: estimation; hidden Markov models (62M05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Applications of graph theory to circuits and networks (94C15)

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