A algorithm of yield analysis based on kernel density estimate

In this paper, a new yield analysis algorithm based on kernel density estimate is developed. With the new algorithm, we can obtain the result by dozens simulations on data of arbitrary model. It is more accurate and efficient than other traditional yield analysis method such as Monte Carlo approach. The test example shows that this algorithm has much practical value in yield analysis of IC design.