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Realizable parasitic reduction using generalized Y-Δ transformation

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2 Author(s)

We propose a realizable RCLK-in-RCLK-out parasitic reduction technique. The method employs generalized Y-Δ transformation. In our method, admittances are kept in their original rational forms of s, and their orders are reduced by truncating high-order terms. Therefore reduced admittances match the low-order terms in exact admittances. First-order realization of admittances is guaranteed, and higher-order realization is achieved by template optimization using geometric programming. The algorithm uniquely uses common-factor identification and cancellation operations to make Y-Δ transformation numerically stable. The experiment shows that our method can achieve higher reduction ratio than TICER and comparable simulation results with PRIMA.

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Design Automation Conference, 2003. Proceedings

Date of Conference:

2-6 June 2003