摘要
为了提高盲源分离的效果和减小盲源分离算法的复杂度,该文将正交约束条件引入盲源分离,提出基于正交约束的NMF盲源分离算法(NMF-DSO),该算法把正交约束添加到NMF优化目标函数中,使目标函数得到优化,并采用乘性更新规则得到更新公式,得到每次更新所需的乘法次数少于相关约束条件下的NMF盲源分离算法(NMF-DSC)。理论分析和仿真结果均表明NMF-DSO算法的性能优于NMF-DSC算法。
In order to enhance the performance of the Blind Source Separation Algorithm and reduce the complexity of Blind Source Separation Algorithm, NMF Blind Source Separation Algorithm with orthogonal constraint (NMF-DSO) is presented in this paper. This optimized algorithm adds or-thogonal constraint to NMF objective function to optimize objective function and uses the multip-licative updated rule to get the updated formula which gets the number of multiplications each time less than NMF blind source separation algorithm with constraints (NMF-DSC). Theoretical analysis and simulations all show that the performance of the proposed method is superior to that of the NMF Blind Source Separation Algorithm with orthogonal constraint (NMF-DSC) algorithm.
作者
陈韬
孙文胜
周钰
陈玛丽
Tao Chen;Wensheng Sun;Yu Zhou;Mali Chen(School of Communication Engineering, Hangzhou Dianzi University, Hangzhou)
出处
《计算机科学与应用》
2014年第11期288-293,共6页
Computer Science and Application
关键词
正交约束
盲源分离
乘性更新
非负矩阵分解
Orthogonal Constraint
Blind Source Separation
Multiplicative Update
Non-Negative MatrixFactorization
