计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (30): 23-25.DOI: 10.3778/j.issn.1002-8331.2010.30.007

• 博士论坛 • 上一篇    下一篇

盲源分离的一种时频比方法

郭 靖1,2,曾孝平1   

  1. 1.重庆大学 通信工程学院,重庆 400030
    2.西南大学 电子信息工程学院,重庆 400715
  • 收稿日期:2010-08-16 修回日期:2010-09-29 出版日期:2010-10-21 发布日期:2010-10-21
  • 通讯作者: 郭 靖

Time-frequcency ratio method of blind source separation

GUO Jing1,2,ZENG Xiao-ping1   

  1. 1.College of Communication Engineering,Chongqing University,Chongqing 400030,China
    2.School of Electronics and Information Engineering,Southwest University,Chongqing 400715,China
  • Received:2010-08-16 Revised:2010-09-29 Online:2010-10-21 Published:2010-10-21
  • Contact: GUO Jing

摘要: 在M.Puigt和Y.Deville提出的时频盲源分离算法基础上,引入S变换来获取非平稳信号的多分辨率特性。首先通过S变换将一维混叠信号映射到二维时频平面,然后构造不同混叠信号的时频比矩阵,通过在时频比矩阵范围内搜索单源分析域计算混合阵的每个元素,进而估计源信号。该方法能有效分离非平稳信号且具备多分辨率特性。

关键词: S变换, 时频比, 盲源分离, 非平稳信号

Abstract: Based on Time-Frequency(TF) ratio Blind Sources Separation(BSS) algorithm proposed by M.Puigt and Y.Deville,the paper proposes a new BSS approach via adopting multi-resolution of S transform.Firstly,the approach uses S transform to obtain TF plane of mixed signals and constructes different TF ratio matrices.Secondly,it detectes single source occurs to identify each element of the mixing matrix,and then obtaines the estimated signals.This approach can separate non-stationary sources effectively and has the multi-resolution characteristics.

Key words: S transform, time-frequency ratio, blind source separation, nonstationary signals

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