One of the important issues in the design of future generation of high-speed networks is to provide differentiated service to different types of traffic with various time constrai...
In this paper we propose a novel parameterized macromodeling technique for analog circuits. Unlike traditional macromodels that are only extracted for a small variation space, our...
We present a method for designing operational amplifiers using reversed geometric programming, which is an extension of geometric programming that allows both convex and non-conve...
The integration of different wireless access technologies combined with the huge characteristic diversity of supported services in next-generation wireless systems creates a real h...
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...