Hierarchical statistical characterization of mixed-signal circuits using behavioral modeling
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Cites methods from "Hierarchical statistical characteri..."
...This model can be a polynomial [ 1 ] or a posynomial function [2], a Kriging model [3] or based on neural network [4]....
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...parameter space (14 parameters) Wi∈ [ 1 , 25] (µm) Li∈ [1, 5] (µm)...
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...parameter space (14 parameters) Wi∈ [1, 25] (µm) Li∈ [ 1 , 5] (µm)...
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References
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"Hierarchical statistical characteri..." refers methods in this paper
...The non-Monte Carlo techniques described in this paper utilize response surface methodology (RSM) [6]....
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3,788 citations
"Hierarchical statistical characteri..." refers methods in this paper
...The most widely used technique for performing statistical characterization is Monte Carlo analysis [1, 2]....
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"Hierarchical statistical characteri..." refers background or methods in this paper
...6 is used to compute cov yi; yj [13]....
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...Note that for any given coefficients in a quadratic equation, A is uniquely determined [13]....
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3,226 citations