标题:
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
关键字:
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
期刊名称:
《Computer Science and Application》, Vol.4 No.11, 2014-11-28
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.