摘要
盲信号处理算法主要有批处理和自适应算法两类,导出了一种基于峭度的自适应盲源分离(blind source separation,BSS)开关算法,将该算法应用于语音信号盲分离处理,通过综合实验,从分离前后的波形、频谱图和主要评价参数说明该算法具有良好的信号分离效果。与批处理中的典型算法,如扩展联合对角化(joint approximative diagonalization of eigenmatrix,JADE)和四阶盲辨识(fourth orther blind identification,FOBI)算法比较,该算法具有更好的分离效果。
The main types of blind signal processing algorithm are batch algorithm and adaptive agorithm.This paper presented the adaptive blind signal separation switch algorithm based on kurtosis for speech signal blind separation processing.Through the comprehensive experiments, the results show that BSS switch algorithm based on kurtosis has good signal separation efficiency from the signal waveforms and spectrums before and after separation and the main evaluation parameters.BSS switch algorithm based on kurtosis has better separation efficiency than the JADE FOBI algorithm.
出处
《计算机应用研究》
CSCD
北大核心
2010年第5期1753-1755,1759,共4页
Application Research of Computers
基金
广东省教育厅育苗工程资助项目(粤财教[2008]342号)
广东省自然科学基金资助项目(07010869)
关键词
盲信号处理
盲源分离
峭度
批处理算法
自适应算法
blind signal processing
blind source separation
kurtosis
batch algorithm
adaptive agorithm
