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基于二阶和高阶统计量的语音信号盲分离算法研究
引用本文:吴景田. 基于二阶和高阶统计量的语音信号盲分离算法研究[J]. 四川大学学报(自然科学版), 2007, 44(5): 1037-1040
作者姓名:吴景田
作者单位:四川大学电子信息学院,成都,610064;四川大学电子信息学院,成都,610064;四川大学电子信息学院,成都,610064
摘    要:研究了两种基于高阶统计量的盲信号分离算法,在各种不同的实验条件下比较了两种算法与基于二阶统计量的盲信号分离算法的分离性能,分析比较了3种算法的计算复杂度,为工程应用和DSP(数字信号处理器)实现提供了参考,最后总结了两大类算法的优缺点,并分析了原因.

关 键 词:盲信号分离  高阶统计量  二阶统计量  计算复杂度
文章编号:0490-6756(2007)05-1037-04
修稿时间:2006-06-28

A comparative study of blind speech source separation algorithms based on higher order statistics and second order statistics
WU Jing-tian. A comparative study of blind speech source separation algorithms based on higher order statistics and second order statistics[J]. Journal of Sichuan University (Natural Science Edition), 2007, 44(5): 1037-1040
Authors:WU Jing-tian
Affiliation:School of Electronic and Information Engineering, Sichuan University
Abstract:Two blind source separation algorithms based on higher order statistics are studied. The performance is compared between these two algorithms and a algorithm based on second order statistics. To provide reference guideline for engineering applications, the computational complexity of three algorithms is studied. At last, the merits and shortcomings of three algorithms are summarized and the reason is discussed.
Keywords:blind source separation   higher order statistics  second order statistics   computational complexity
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