J. Libous

TL;DR: In this article, the authors provide an overview on the design of power distribution networks for digital and mixed-signal systems with emphasis on design tools, decoupling, measurements, and emerging technologies.

TL;DR: In this paper, a modeling technique using spline functions with finite time difference approximation is discussed for modeling moderately nonlinear digital input/output (I/O) drivers, which takes into account both the static and the dynamic memory characteristics of the driver during modeling.

TL;DR: In this paper the speed and accuracy of the proposed method is analyzed and compared with Radial Basis Function (RBF) modeling for different test cases.

TL;DR: In this article, the effect of substrate loss on power supply noise in on-chip power distribution networks (PDN) has been quantified by using first-order Debye approximation based Finite Difference Time Domain (FDTD).

TL;DR: In this article, power supply noise is modeled accurately using efficient macro-models of nonlinear digital drivers, where a spline function with finite time difference approximation modeling technique takes into account both the static and the dynamic memory characteristics of the driver during modeling.