CORC  > 大连理工大学
Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm
Ge, Sunan; Han, Jie; Han, Min
刊名CIRCUITS SYSTEMS AND SIGNAL PROCESSING
2015
卷号34页码:2935-2950
关键词Underdetermined blind source separation Hierarchical alternating least squares Canonical decomposition Minimum mean-squared error beamformer
ISSN号0278-081X
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4407094
专题大连理工大学
作者单位1.Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116023, Peoples R China.
2.Dalian Med Univ, Affiliated Hosp 1, Dept Neurol, Dalian 427163, Peoples R China.
推荐引用方式
GB/T 7714
Ge, Sunan,Han, Jie,Han, Min. Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm[J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING,2015,34:2935-2950.
APA Ge, Sunan,Han, Jie,&Han, Min.(2015).Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm.CIRCUITS SYSTEMS AND SIGNAL PROCESSING,34,2935-2950.
MLA Ge, Sunan,et al."Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm".CIRCUITS SYSTEMS AND SIGNAL PROCESSING 34(2015):2935-2950.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace