Parameter Optimization for Importance Sampling in Encoded Systems

被引：0
|
作者：
Melo, Hallyson L. M. [1 ]
Gurjao, Edmar C. [2 ]
Albert, Bruno B. [2 ]
de Assis, Francisco M. [2 ]
机构：
[1] INdT, Recife, PE, Brazil
[2] Univ Fed Campina Grande, GEPOTI, BR-58100000 Campina Grande, Brazil
来源：
PROCEEDINGS OF THE IEEE INTERNATIONAL TELECOMMUNICATIONS SYMPOSIUM, VOLS 1 AND 2 | 2006年
关键词：
Simulation; Importance Sampling; Optimization;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this paper we present a new methodology based on the stochastic gradient descent to optimizing parameters of the biased distribution along importance sampling simulations. A particular aspect of the new technique is that of use of multiple parameters for the simulation of each codeword. An example of application estimating the performance of a encoded system is given.
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页码：95 / +
页数：2
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