Hierarchical statistical characterization of mixed-signal circuits using behavioral modeling

A methodology for hierarchicalstatistical circuit characterization which does not rely upon circuit-level Monte Carlo simulation is presented. The methodology uses principalcomponentanalysis, response surface methodology, and statistics to directly calculate the statistical distributions of higher-level parameters from the distributions of lower-level parameters. We have used the methodology to characterizea folded cascodeoperational amplifier and a phase-locked loop. This methodology permits the statistical characterization of large analog and mixed-signal systems, many of which are extremely time-consuming or impossible to characterize using existing methods.

• Type: Conference
• Year: 1996
• Where: ICCAD
• Authors: Eric Felt, Stefano Zanella, Carlo Guardiani, Alberto L. Sangiovanni-Vincentelli
• Keywords: Hardware, ICCAD 1996, Methodology, Methodology Uses Principalcomponentanalysis, Response Surface Methodology