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In this paper, we develop a variability-aware design methodology for reconfigurable filters used in multi-standard wireless systems. To model the impact of statistical circuit component variations on the predicted manufacturing yield, we implement several different analytic variability quantification techniques based on a double-sided implementation of the first and second order reliability methods (FORM and SORM), which provide several orders of magnitude improvement in computationaldoi:10.1109/iccad.2008.4681662 dblp:conf/iccad/NieuwoudtKM08 fatcat:r24agsmvfzgrxeg544tijgsp4e