通信学报2017，Vol.38Issue(7)：36-46,11.DOI:10.11959/j.issn.1000-436x.2017147
基于样条插值与人工蜂群优化的非线性盲源分离算法
Nonlinear blind source separation algorithm based on spline interpolation and artificial bee colony optimization
摘要
Abstract
A post-nonlinear blind source separation algorithm based on spline interpolation fitting and artificial bee colo-ny optimization was proposed for the more complicated nonlinear mixture situations. The separation model was con-structed by using the spline interpolation to fit the inverse nonlinear distortion function and using entropy as the separa-tion criterion. The spline interpolation node parameters were solved by the modified artificial bee colony optimization algorithm. The correlation constraint was added into the objective function for limiting the solution space and the outliers wuld be restricted in the separation process. The results of speech sounds separation experiment show that the proposed algorithm can effectively realize the signal separation for the nonlinear mixture. Compared with the traditional separation algorithm based on odd polynomial fitting, the proposed algorithm has higher separation accuracy.关键词
盲源分离/后非线性/样条插值/群智能优化/人工蜂群算法Key words
blind source separation/post nonlinear/spline interpolation/swarm intelligence optimization/artificial bee colony algorithm分类
信息技术与安全科学引用本文复制引用
陈雷,甘士忠,张立毅,王光艳..基于样条插值与人工蜂群优化的非线性盲源分离算法[J].通信学报,2017,38(7):36-46,11.基金项目
国家自然科学基金资助项目(No.61401307) （No.61401307）
中国博士后科学基金资助项目(No.2014M561184) （No.2014M561184）
天津市应用基础与前沿技术研究计划基金资助项目(No.15JCYBJC17100, No.14JCZDJC32600) （No.15JCYBJC17100, No.14JCZDJC32600）
天津市科技特派员基金资助项目(No.16JCTPJC48400) The National Natural Science Foundation of China (No.61401307), China Postdoctoral Science Foundation (No.2014M561184), Tianjin Research Program of Application Foundation and Advanced Technology of China (No.15JCYBJC17100, No.14JCZDJC32600), Tianjin Research Program of Science and Technology Commissioner of China (No.16JCTPJC48400) （No.16JCTPJC48400）
