计算机科学与应用

Vol.4 No.11 (November 2014)

正交约束的NMF盲源分离算法
NMF Blind Source Separation Algorithm with Orthogonal Constraint

 

作者:

陈 韬 , 孙文胜 , 周 钰 , 陈玛丽 :杭州电子科技大学通信工程学院,杭州

 

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 Matrix Factorization

 

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.

文章引用:

陈 韬 , 孙文胜 , 周 钰 , 陈玛丽 (2014) 正交约束的NMF盲源分离算法。 计算机科学与应用, 4, 288-293. doi: 10.12677/CSA.2014.411040

 

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