An algorithm which based on the adaptive to velocity to choose significant taps in multi-path environment is also proposed,which can effectively reduce the probability of leakage in traditional ways.

Study on an importance sampling method of structrural dynamic reliability;

Fuzzy robustness analysis based on importance sampling and neural network;

An improved reliability sensitivity estimation of important sampling and its variance analysis;

Since the main contribution to the integral comes from the domain in the neighborhood of the point of local maximum used in the asymptotic method,it is reasonable to assume that the most probable value of the important sampling density function equals to the local maximum.

Digital simulation of fuzzy reliability based on the importance sampling method;

An adaptive importance sampling algorithm is presented to evaluate fuzzy-random general failure probability,where a simulated annealing optimization is employed to seek the fuzzy-random design point—the Most Probable Failure Point(MPFP) in the failure region.

The zero-variance technique is used to analyze a highly efficient importance sampling method developed by S.

This paper describes the difficulty of rare-event probability estimation using digital simulation method in the view of computation complexity, and focuses on the principles and construction methods of importance sampling plan.

The undetected error probability of linear block codes for both error detection and correction is estimated with importance sampling.

And the importance sampling technique is applied to improve the sampling efficiency.