Blind signal separation of underdetermined mixtures based on clustering algorithms on planes  

作　　者：Xie Shengli Tan Beihai Fu Yuli 

机构地区：[1]School of Electronics ＆ Information Engineering, South China University of Technology, Guangzhou 510640, China

出　　处：《Progress in Natural Science:Materials International》2007年第6期670-674,共5页自然科学进展·国际材料（英文版）

基　　金：Supported by National Natural Science Foundation of China (Grant Nos 60325310 ,60674033 and 60505005);the Guangdong Province ScienceFoundation for Program of Research Team (04205783);the Natural Science Fund of Guangdong Province , China ( Grant Nos 05103553 and05006508);the Specialized Prophasic Basic Research Projects of Ministry of Science and Technology , China (Grant 2005CCA04100)

摘　　要：Based on clustering method on planes, blind signal separation (BSS) of underdetermined mixtures with three observed signals is discussed. The condition of sufficient sparsity of the source signals is not necessary when clustering method on planes is used. In other words, it needs not that only one source signal plays the main role among others at one time. The proposed method uses normal line clustering of planes first. Then, the mixing matrix can be identified via deciding the intersection lines of the planes. This method is an effective implement of the new theory presented by Georgiev. Simulations illustrate accuracy and restoring capability of the method to estimate the mixing matrix.Based on clustering method on planes, blind signal separation （BSS） of underdetermined mixtures with three observed signals is discussed. The condition of sufficient sparsity of the source signals is not necessary when clustering method on planes is used. In other words, it needs not that only one source signal plays the main role among others at one time. The proposed method uses normal line clustering of planes first. Then, the mixing matrix can be identified via deciding the intersection lines of the planes. This method is an effective implement of the new theory presented by Georgiev. Simulations illustrate accuracy and restoring capability of the method to estimate the mixing matrix.

关 键 词：underdetermined mixture sparse representation mixing matrix blind signal separation 

分 类 号：TN911.7[电子电信—通信与信息系统]