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Blind Separation of Digital Signal Sources in Noise Circumstance

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Neural Information Processing (ICONIP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4232))

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Abstract

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.

The work is supported by the National Natural Science Foundation of China for Excellent Youth (Grant 60325310), the Guangdong Province Science Foundation for Program of Research Team (grant 04205783), the National Natural Science Foundation of China (Grant 60505005), the Natural Science Fund of Guangdong Province, China (Grant 05103553), the Specialized Prophasic Basic Research Projects of Ministry of Science and Technology, China (Grant 2005CCA04100).

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Author information

Authors and Affiliations

  1. College of Electronic and Communication Engineering, South China University of Technology, 510640, China

    Beihai Tan & Xiaolu Li

Authors
  1. Beihai Tan
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  2. Xiaolu Li
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Engineering, The Chinese Univ. of Hong Kong, Shatin, N.T., Hong Kong

    Irwin King

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  3. The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Lai-Wan Chan

  4. Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, OH 43210, Columbus

    DeLiang Wang

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© 2006 Springer-Verlag Berlin Heidelberg

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Tan, B., Li, X. (2006). Blind Separation of Digital Signal Sources in Noise Circumstance. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893028_125

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  • DOI: https://doi.org/10.1007/11893028_125

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46479-2

  • Online ISBN: 978-3-540-46480-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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