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Power and Delay Estimation for Dynamic OR Gates with Header and Footer Transistor Based on Wavelet Neural Networks

机译:基于小波神经网络的动态或栅极的动态或栅极电源和延迟估计

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摘要

A system for estimating the leakage power, the active power and the delay of the domino OR gates with the sleep transistor based on wavelet neural networks in 45 nm technology is proposed. By studying the impact of the power gating technique (PGT) on the power and delay characteristics, the proposed model could estimate the nonlinear changing of the active power, the leakage power and the delay of the different inputs dynamic OR gates with fast speed convergence and high precision. The trend of the estimating curve is discussed. At last, the comparison between the footer and the header sleep transistor technique is given.
机译:提出了一种用于估计漏电功率,基于45nm技术的小波神经网络的Domino或Domino或栅极延迟的系统。通过研究功率门控技术(PGT)对电源和延迟特性的影响,所提出的模型可以估计有源电力的非线性变化,漏电功率和不同输入动态或栅极的延迟,具有快速换档和栅极高精准度。讨论了估计曲线的趋势。最后,给出了页脚和头部睡眠晶体管技术之间的比较。

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