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This paper introduces a constrained vector fitting algorithm which can directly identify a passive driving point function (impedance or admittance) from frequency domain data. The proposed positive fractions vector fitting (PFVF) algorithm formulates the residue identification step as a convex programming problem, while the pole identification step follows the unaltered standard Vector Fitting procedure...
This paper shows that accurate parametric macromodels can be computed from transient port responses which are varied by one or more design variables. The poles of the parametric macromodel are guaranteed to be stable by construction, and passivity can be enforced as a post-processing step.
In this paper we show the measured power consumption of the different subsystems of the notebook with special emphasis on the power delivery subsystem. We prove by measurements that the energy efficiency of many of these subsystems can be significantly improved with a workload adaptive architecture without sacrificing performance at the peak load.
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