Mixture Matrix Identification of Underdetermined Blind Source Separation Based on Plane Clustering Algorithm

  • Beihai Tan
  • Yuli Fu
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 344)


Underdetermined blind source separation and sparse component analysis aim at to recover the unknown source signals under the assumption that the observations are less than the source signals and the source signals can be sparse expressed. Many methods to deal with this problem related to clustering. For underdetermined blind source separation model, this paper gives a new plane clustering algorithm to estimate the mixture matrix based on sparse sources information. Good performance of our method is shown by simulations.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Beihai Tan
    • 1
  • Yuli Fu
    • 1
  1. 1.College of Electronic and Communication EngineeringSouth China University of TechnologyChina

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