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Waveform relaxation approach to PWL simulation of analogue andmixed A/D networks at the functional level

机译:在功能级别模拟和混合A / D网络的PWL仿真的波形松弛方法

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摘要

The application of waveform relaxation to the piecewise linearn(PWL) macro-simulation technique is considered. It is oriented towardsnfunctional-level analogue and mixed-signal structures of A/D networks.nThe main issues in the actual PWL approach are briefly described. Thenwaveform relaxation-based PWL algorithm is formulated in terms of anmathematical network model, and the convergence proof for it is given.nDifferent feedback loops faced in analogue and mixed A/D networks arendiscussed with respect to the algorithm convergence. Macro-simulationnexamples of practical use illustrating the presented approach are alsonincluded
机译:考虑了波形弛豫在分段线性(PWL)宏仿真技术中的应用。它面向A / D网络的功能级模拟和混合信号结构。n简要描述了实际PWL方法中的主要问题。然后根据数学网络模型,提出了基于波形松弛的PWL算法,并给出了收敛性证明。n针对算法的收敛性,讨论了模拟和混合A / D网络面临的不同反馈回路。宏观仿真-还包括说明所提出方法的实际使用示例

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