Improving threshold performance of the IQML algorithm |
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| Authors: | Read W.J.L. |
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| Affiliation: | Dept. of Nat. Defence, Defence Res. Establ., Ottawa, Ont.; |
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| Abstract: | In this article, improvements to the iterative quadratic maximum likelihood (IQML) algorithm are presented. The modifications are twofold: modification of the nontriviality constraint on the polynomial coefficient vector and the addition of a noise preprocessing step based on the eigendecomposition of the data covariance matrix. Simulation results are provided |
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