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IC-constrained optimization of continuous-time Gm-C filters

机译:连续时间Gm-C滤波器的IC约束优化

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This paper presents an automated synthesis procedure for integrated continuous-time fully-differential G_m - C filters. Such procedure builds up on a general extended state-space system representation which provides simple matrix algebra mechanisms to evaluate the noise and distortion performances of filters, as well as, the effect of amplitude and impedance scaling operations. The proposed technique not only addresses the dynamic range optimization under power dissipation constraints, but also accounts for other relevant integrated circuit related features, such as transconductor decomposition in unitary instances, spread of capacitances and estimated area occupation, among other characteristics. The proposed approach, implemented in the MATLAB~® framework, can be also used as an exploratory tool to compare different circuit implementations for a given set of filter specifications.
机译:本文提出了一种针对集成连续时间全微分G_m-C滤波器的自动合成程序。这种过程建立在一般的扩展状态空间系统表示之上,该表示提供了简单的矩阵代数机制来评估滤波器的噪声和失真性能以及幅度和阻抗缩放操作的效果。所提出的技术不仅解决了功耗限制下的动态范围优化问题,而且考虑了其他与集成电路相关的特征,例如单元实例中的跨导体分解,电容分布和估计面积占用等。在MATLAB®®框架中实现的提议方法也可以用作探索工具,以比较给定一组滤波器规格的不同电路实现。

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