This paper proposes an equation-based multi-scenario iterative robust optimization methodology for analog/mixed-signal circuits. We show that due to local circuit performance mono...
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
— This paper presents the MIMO channel capacity over the Nakagami-m fading channel. The joint eigenvalue density function of W = HH† , where H is the channel matrix, is derived...
Sub-threshold operation is a compelling approach for energyconstrained applications, but increased sensitivity to variation must be mitigated. We explore variability metrics and t...
In some applications objects are known to have nonsmooth or “jagged” edges, which are not well approximated by smooth curves. We use subdivision curves as a simple but flexib...