Open AccessRestoration of scatterer distribution based on Empirical Bayesian learning with consideration of statistical properties
Author(s) -
Jing Yao Zhu,
Norio Tagawa
Publication year - 2017
Publication title -
proceedings of meetings on acoustics
Language(s) - English
Resource type - Conference proceedings
ISSN - 1939-800X
DOI - 10.1121/2.0000713
Subject(s) - maximum a posteriori estimation , estimator , autoregressive model , deconvolution , computer science , bayesian probability , expectation–maximization algorithm , algorithm , speckle pattern , mathematics , artificial intelligence , statistics , maximum likelihood
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