Blind Separation of Digital Signal Sources in Noise Circumstance

  • Beihai Tan
  • Xiaolu Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4232)


During blind separation, noise exists and effects the work. This paper presents novel techniques for blind separation of instantaneously mixed digital sources in noise circumstance, which is based on characteristics of digital signals. The blind separation and denoising algorithms include two steps. First, one of adaptive blind separation algorithms in existence is used to separate sources, but there still exists noise in the separating signals, and then, the second step is adopted to denoise according to the characteristics of digital signals. In the last simulations, the good performance is illustrated and the algorithm is very excellent.


Digital Signal Independent Component Analysis Blind Source Separation Separation Matrix Denoising Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Beihai Tan
    • 1
  • Xiaolu Li
    • 1
  1. 1.College of Electronic and Communication EngineeringSouth China University of TechnologyChina

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