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• W2565945251 abstract "We have developed an LSI for Gm-C IF filters, attaining (1) a 63% reduction in filter area, (2) a 38% reduction in power dissipation, compared to existing commercial products, and (3) a yield rate of 97%. The developed chip is calibrated within a few seconds by a genetic algorithm; an efficient AI technique for difficult optimization problems." @default.
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• W2565945251 date "2003-06-25" @default.
• W2565945251 modified "2023-09-28" @default.
• W2565945251 title "An AI-calibrated IF filter: a yield enhancement method with area and power dissipation reductions" @default.
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• W2565945251 doi "https://doi.org/10.1109/cicc.2002.1012837" @default.
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