›› 2016, Vol. 29 ›› Issue (7): 4-.

• 论文 • 上一篇    下一篇

基于萤火虫算法的变步长语音信号盲源分离

栾先冬,徐岩   

  1. (兰州交通大学 电子与信息工程学院,甘肃 兰州 730070)
  • 出版日期:2016-07-15 发布日期:2016-07-15
  • 作者简介:栾先冬(1991-),男,硕士研究生。研究方向:语音信号增强等。 徐岩(1963-),男,教授。研究方向:盲信号处理等。
  • 基金资助:

    国家自然科学基金资助项目(61461024)

Variable Stepsize Blind Sources Separation for Speech Signals by Firefly Algorithm

LUAN Xiandong, XU Yan   

  1. (School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)
  • Online:2016-07-15 Published:2016-07-15

摘要:

针对传统的自然梯度算法对语音信号进行盲源分离时,算法存在收敛速度和稳态误差的矛盾。文中提出一种新的变步长自然梯度算法,利用荧火虫算法对自然梯度算法的步长调整,使算法的步长随信号的分离度变化,并通过计算机仿真验证了该算法的有效性,算法的分离效果更好,收敛速度更快,且稳态误差更小。

关键词: 萤火虫算法, 变步长, 盲源分离

Abstract:

Traditional natural gradient algorithm of blind source separation for speech signals is contradictions, which suffers errors between convergence speed and steadystate. A novel variable stepsize algorithm is proposed to solve this problem. The stepsize of traditional natural gradient algorithm is adjusted by the firefly algorithm to yield variable signals with the separation degree. Computer simulations verify the feasibility of this new algorithm, which offers better separation results with faster convergence and less steadystate errors.

Key words: firefly algorithm, variable step size, blind source separation

中图分类号: 

  • TN912.35