人工智能校准的中频滤波器:一种面积和功耗降低的良率提高方法

Proceedings of the IEEE 2002 Custom Integrated Circuits Conference (Cat. No.02CH37285) Pub Date : 2002-08-07 DOI:10.1109/CICC.2002.1012837

M. Murakawa, T. Adachi, Yoshihiro Niino, Y. Kasai, E. Takahashi, K. Takasuka, T. Higuchi

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引用次数: 21

摘要

我们开发了一种用于Gm-C中频滤波器的LSI，与现有的商业产品相比，实现了(1)滤波器面积减少63%，(2)功耗降低38%，(3)良率为97%。开发的芯片通过遗传算法在几秒钟内进行校准;一种解决复杂优化问题的高效人工智能技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An AI-calibrated IF filter: a yield enhancement method with area and power dissipation reductions

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.

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Proceedings of the IEEE 2002 Custom Integrated Circuits Conference (Cat. No.02CH37285)

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