Deep inference is a proof theoretical methodology that generalizes the traditional notion of inference in the sequent calculus: in contrast to the sequent calculus, the deductive ...
At Northeastern University we are building a number of courses upon a common embedded systems platform. The goal is to reduce the learning curve associated with new architectures ...
Michael G. Benjamin, David R. Kaeli, Richard Platc...
This paper presents the sizing rules method for analog CMOS circuit design that consists of: first, the development of a hierarchical library of transistor pair groups as basic b...
Helmut E. Graeb, Stephan Zizala, Josef Eckmueller,...
In this paper we propose a novel analog design optimization methodology to address two key aspects of top-down system-level design: (1) how to optimally compare and select analog ...
Xin Li, Jian Wang, Lawrence T. Pileggi, Tun-Shih C...
We propose a design flow for low-power and low-cost, data-dominated, embedded systems which tightly integrate different technologies and architectures. We use Mathworks’ Simuli...