Fast Maximum Likelihood Scale Parameter Estimation From Histogram Measurements

Abstract

In this letter, we address the problem of estimating a parameter acting as a scale factor on the observations probability density function (pdf), i.e. a scale parameter. Histogram based Maximum Likelihood (ML) estimation of a scale parameter requires the evaluation of a discrete scale correlation. We show how ML estimation can be implemented by means of a… (More)
DOI: 10.1109/LSP.2011.2159787

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