Efficient Parameter Extraction and Statistical Analysis for a 0.25um low-power CMOS Process

Abstract

An efficient parameter extraction strategy suitable for deep submicron CMOS processes is presented. This has been applied to generate a statistical parameter database for a 0.25 micron process and to generate best and worst case models for circuit simulation by means of Principal Component Analysis.