动态串扰噪声识别算法

Dynamic Crosstalk Noise Identification Algorithm

提出了动态串扰噪声的识别算法.针对基于传统静态时序分析的结果过于保守的缺点,本算法引入了混合时序分析,缩小了时间窗区间,为动态串扰噪声的识别提供了准确的时序信息,与此同时,通过测试生成来验证信号间的逻辑关系,根据这些准确的时序及逻辑信息,识别出动态串扰噪声.

A algorithm is presented to identify dynamic crosstalk noise. In the course of dynamic crosstalk noise identification, hybrid timing analysis is used to provide accurate signal arrival time ,which can provide more accurate timing information than static timing analysis. At the same time, a novel test generation is chosen to verify the correlation of signals. So dynamic crosstalk noise can be identified by these accurate timing and logic information.