An EM Approach for Time-Variant Poisson-Gaussian Model Parameter Estimation


The problem of estimating the parameters of a Poisson-Gaussian model from experimental data has recently raised much interest in various applications, for instance in confocal fluorescence microscopy. In this context, a field of independent random variables is observed, which is varying both in time and space. Each variable is a sum of two components, one… (More)
DOI: 10.1109/TSP.2013.2283839


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