Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Estimation of the area complexity of a Boolean function from its functional description is an important step towards a power estimation capability at the register transfer level (...
In this paper, we describe how to extend the concept of superword-level parallelization (SLP), used for multimedia extension architectures, so that it can be applied in the presen...
Abstract-- This paper addresses the problem of optical signalto-noise ratio (OSNR) optimization in optical networks. An analytical OSNR network model is developed for a general mul...
—Transmission power plays a crucial role in the design and performance of wireless networks. The issue is therefore complex since an increase in transmission power implies that a...