Switching Activity Estimation in Non-linear Architectures
Energy estimation in the early stages of the design flow has a paramount importance for the successful implementation of modern low power systems. With this goal, the present work proposes a technique for switching activity estimation in non-linear architectures, where the classical techniques based on Gaussian models cannot be applied. Using the characterization of the probability density function with a projection in an orthogonal polynomial base, and a symbolic propagation mechanism, a technique is presented to calculate the switching activity from the moments of the signal. The approach has been validated with practical circuits from the wireless communication arena. Comparisons with reference bit level simulations and previous works are reported to assess the accuracy of the technique.
KeywordsProbability Density Function Orthogonal Frequency Division Multiplex Hermite Polynomial Laguerre Polynomial Switching Activity
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