To cope with an increasing complexity when analyzing analog mismatch in sub-90nm designs, this paper presents a fast non-MonteCarlo method to calculate mismatch in time domain. Th...
In this paper, we present an approved linear-time algorithm for statistical leakage analysis in the present of any spatial correlation condition (strong or weak). The new algorith...
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
We present a static analysis for inferring the maximum amount of buffer space used by a program consisting of concurrently running processes communicating via buffered channels. We...
Improved acoustic modeling can significantly decrease the error rate in large-vocabulary speech recognition. Our approach to the problem is twofold. We first propose a scheme that...