Existing approaches to timing analysis under uncertainty are based on restrictive assumptions. Statistical STA techniques assume that the full probabilistic distribution of parame...
Wei-Shen Wang, Vladik Kreinovich, Michael Orshansk...
—As process variations become a significant problem in deep sub-micron technology, a shift from deterministic static timing analysis to statistical static timing analysis for hig...
Abstract— We present an analytical study on the error performance of differential unitary space-time modulation (DUSTM) over multiple-input multiple-output (MIMO) channels with n...
Statistical static timing analysis (SSTA) has been a popular research topic in recent years. A fundamental issue with applying SSTA in practice today is the lack of reliable and e...
We propose a scalable and efficient parameterized block-based statistical static timing analysis algorithm incorporating both Gaussian and non-Gaussian parameter distributions, ca...