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By robustness and accuracy, we mean the following: (a) a representation is considered robust when results based on it are affected only slightly by noise or image errors; (b) a representation is considered accurate when results based on this gives good results using the original (i.e., noiseless) images.
The MSE criterion is motivated by robustness to channel estimation errors and a lower implementation complexity.
The MMSE criterion is motivated by robustness to channel estimation errors and a lower implementation complexity.
By robustness we mean how the performance in terms of the DP and FAR varies, when the detection threshold changes.
The resulting different hybrid IT2FO-FPID controller structures are examined on different fractional order processes followed by robustness analysis.
The resulting IT2FO-FPID controller is examined on different delayed linear and nonlinear benchmark plants followed by robustness analysis.
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The current proposal is thus characterised by its robustness against those differences and by its reasonable conservatism.
Our estimates are supplemented and supported by several robustness exercises.
This is also confirmed by a robustness check.
The model was further limited by the robustness of underlying wine Pb concentration data.
Our indicators are inspired by the robustness metrics used for ecosystems in Biology.
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