Rethinking Biased Estimation: Improving Maximum Likelihood and the Cramer-Rao Bound
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Rethinking Biased Estimation discusses methods to improve the accuracy of unbiased estimators used in many signal processing problems. At the heart of the proposed methodology is the use of the mean-squared error (MSE) as the performance criteria
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