公开(公告)号：US20060193400A1

公开(公告)日：2006-08-31

申请号：US10890134

申请日：2004-07-14

Applicant: Joel Morris ,  Ronald Holzloehner ,  Amitkumar Mahadevan ,  Curtis Menyuk ,  John Zweck

Inventor： Joel Morris ,  Ronald Holzloehner ,  Amitkumar Mahadevan ,  Curtis Menyuk ,  John Zweck

IPC: H04L27/06

CPC classification number: H04L1/203

Abstract: A dual adaptive importance-sampling system and method is provided that can estimate the probability of events by combining dual complementary importance-sampling simulations. The present invention exploits the ability to determine an optimal biased pdf using an iterative procedure that requires relatively little a priori knowledge of how to bias. Hence, the present invention is particularly suited for evaluating the BERs and/or WERs of coded communication and storage systems, and is generally applicable to arbitrarily chosen codes. When applied to coded communication and storage systems, the present invention provides a versatile technique for the fast and accurate estimation of BERs and WERs of FEC codes down to values of 10−20 or lower.

Abstract translation: 提供了一种双重自适应重要性抽样系统和方法，可以通过组合双重互补重要性抽样模拟来估计事件的概率。 本发明利用了使用迭代过程确定最佳偏差pdf的能力，该迭代过程需要相对较少的如何偏向的先验知识。 因此，本发明特别适用于评估编码的通信和存储系统的BER和/或WER，并且通常适用于任意选择的代码。 当应用于编码通信和存储系统时，本发明提供了一种通用技术，用于将FEC码的BER和WER的快速和准确估计降低到10至20或更低的值。