Skip to main content

Reference Based Contrast Functions in a Semi-blind Context

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5441))

Abstract

We deal with blind signal extraction in the framework of a convolutive mixture of independent sources. Considering so-called reference signals, we generalize former identifiability conditions. Based on this result, we propose to incorporate some a priori information in the references. We show the validity of reference based contrast functions in two semi-blind situations. The results are confirmed by computer simulations.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Castella, M., Rhioui, S., Moreau, E., Pesquet, J.C.: Quadratic higher-order criteria for iterative blind separation of a MIMO convolutive mixture of sources. IEEE Trans. Signal Processing 55(1), 218–232 (2007)

    Article  MathSciNet  Google Scholar 

  2. Kawamoto, M., Kohno, K., Inouye, Y.: Eigenvector algorithms incorporated with reference systems for solving blind deconvolution of MIMO-IIR linear systems. IEEE Signal Processing Letters 14(12), 996–999 (2007)

    Article  MATH  Google Scholar 

  3. Hua, Y., Tugnait, J.K.: Blind identifiability of FIR-MIMO systems with colored input using second order statistics. IEEE Signal Processing Letters 7(12), 348–350 (2000)

    Article  Google Scholar 

  4. Simon, C., Loubaton, P., Jutten, C.: Separation of a class of convolutive mixtures: a contrast function approach. Signal Processing (81), 883–887 (2001)

    Article  MATH  Google Scholar 

  5. Tugnait, J.K.: Identification and deconvolution of multichannel linear non-gaussian processes using higher order statistics and inverse filter criteria. IEEE Trans. Signal Processing 45(3), 658–672 (1997)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Castella, M., Moreau, E. (2009). Reference Based Contrast Functions in a Semi-blind Context. In: Adali, T., Jutten, C., Romano, J.M.T., Barros, A.K. (eds) Independent Component Analysis and Signal Separation. ICA 2009. Lecture Notes in Computer Science, vol 5441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00599-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-00599-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00598-5

  • Online ISBN: 978-3-642-00599-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics