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    National Tsing Hua University Institutional Repository > 研究中心 > 電腦與通訊科技研發中心 > 技術報告 >  A convex analysis based criterion for blind separation of non-negative sources


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/13422


    Title: A convex analysis based criterion for blind separation of non-negative sources
    Authors: Chan,Tsung-Han
    Ma,Wing-Kin
    Chi,Chong-Yung
    Wang,Yue
    Date: 2007
    Publisher: Institute of Electrical and Electronics Engineers Inc.
    Keywords: Blind source separation
    Medical imaging
    Set theory
    Signal processing
    Statistical methods
    Abstract: In this paper, we apply convex analysis to the problem of blind source separation (BSS) of non-negative signals. Under realistic assumptions applicable to many real-world problems such as multichannel biomedical imaging, we formulate a new BSS criterion that does not require statistical source independence, a fundamental assumption to many existing BSS approaches. The new criterion guarantees perfect separation (in the absence of noise), by constructing a convex set from the observations and then finding the extreme points of the convex set. Some experimental results are provided to demonstrate the efficacy of the proposed method. © 2007 IEEE.
    Relation Link: http://www.ieee.org/portal/site
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/13422
    Appears in Collections:[電腦與通訊科技研發中心] 技術報告
    [通訊工程研究所] 會議論文
    [電腦與通訊科技研發中心] 會議論文

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