Transition activity estimation for generic data distributions [power estimation]

Due to the increasing demand of portable digital systems, it is of great interest to extend the existing high-level power estimation techniques to handle flexible non-Gaussian data models, as they appear in relevant applications such as signal correlators or OFDM synchronization units. This work addresses the modeling and estimation of signal activity in random signals based on their statistical properties. Using the derived models, an estimation technique is proposed and evaluated for practical circuits. Bit level simulation results show the excellent accuracy of the proposed approach