计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (19): 75-79.

• 学术探讨 • 上一篇    下一篇

变步长自适应盲源分离算法综述

高 颖1,李 月2,杨宝俊1   

  1. 1.吉林大学 地球探测与信息技术学院,长春 130012
    2.吉林大学 通信工程学院,长春 130012
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-07-01 发布日期:2007-07-01
  • 通讯作者: 高 颖

Overview on variable step size techniques for on-line blind source separation

GAO Ying1,LI Yue2,YANG Bao-jun1   

  1. 1.College of Geoexploration Science and Technology,Jilin University,Changchun 130012,China
    2.College of Communication Engineering,Jilin University,Changchun 130012,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-07-01 Published:2007-07-01
  • Contact: GAO Ying

摘要: 主要阐述了变步长自适应盲源分离算法中变步长选取的基本原理及其性能。首先,简单介绍了经典自适应盲源分离算法;然后,在此基础上对近年来出现的各种变步长盲源自适应盲分离算法进行归类,并一一分析了每类算法中各个算法的原理和性能;最后,对变步长盲源分离算法目前存在的问题和发展趋势进行了总结和展望。

Abstract: The behavior of the classic algorithm for on-line(adaptive) Blind Source Separation(BSS) is detailed for a fixed step size.To improve the algorithm in speed and exactness,essential in tracking a time-varying mixing environment,a variable step size must be employed.In this paper,a particular emphasis is placed on the fundamentals and performance for the selection of variable step size.Firstly,a straightforward introduction is proposed for classic on-line BSS of a fixed step size.Then,the paper classifies and specifies the variable step size techniques for on-line BSS.Finally,these techniques are reviewed and give a conclusion about the problem and tendency on the development.