稀疏盲源信号分离的新算法  

New algorithm of blind sparse source separation

作　　者：傅予力[1] 谢胜利[1] 何昭水[1] 

机构地区：[1]华南理工大学电子与信息工程学院,广州510640

出　　处：《计算机工程与应用》2007年第9期84-87,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(the National Natural Science Foundation of China under Grant No.60674003;No.60505005);国家杰出青年基金(the National Science Fund of China for Distinguished Young Scholar under Grant No.60325310);广东省自然科学团队研究项目(No.04205783);广东省自然科学基金(the Natural Science Foundation of Guangdong Province of China under Grant No.05006508; No.05103553);科技部重大基础前期研究专项(No.2005CCA04100)。

摘　　要：针对以往通常采用线性规划或最短路径法计算相对复杂这一稀疏盲信号分离瓶颈,提出了一种新的算法,通过方向投影合理设置迭代初始值,结合最速下降法寻优估计源信号。新算法容易实现,分离速度快,能够很好地满足盲分离对速度的要求。In this paper,the estimation of the source signals is discussed in detail.Usually,linear programming or shortest-path technique is used.Since they are all with complex computation,they are very hard to be operated.To improve the algorithm,we propose a new algorithm by setting suitable initial value direction projection by direction projection.A steepest descent algorithm is associated to estimate the source signals.The new algorithm is easy to be implemented and with fast convergent speed.The algorithm satisfies the demand of convergent speed in BSS.

关 键 词：盲信号分离 稀疏表示 欠定盲源分离 两步法 

分 类 号：TN911.6[电子电信—通信与信息系统]