Skip to main content

A New Strategy of Adaptive Nonlinear Echo Cancelling Volterra-Wiener Filter Structure Selection

  • Conference paper
Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6276))

Abstract

In the article a nonlinear orthogonal echo cancelling filter parameters selection strategy is proposed to maximize echo cancelling quality to computation complexity ratio. Presented approach leads to the orthogonal realization of the nonlinear echo cancelling filter of Volterra-Wiener class which structure changes due to higher-order statistics of the filtered signals.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lee, D.T.L., Morf, M., Friedlander, B.: Recursive Least-Squares Ladder Estimation Algorithms. IEEE Trans. on CAS 28, 467–481 (1981)

    Article  MathSciNet  Google Scholar 

  2. Schetzen, S.: The Voltera & Wiener Theories of nonlinear systems. John Wiley & Sons, New York (1980)

    Google Scholar 

  3. Dijksma, A., Wanjala, G.: Generalized Schur Functions and Augmented Schur Parameters. In: Operator Theory in Krein Spaces and Nonlinear Eigenvalue Problems, pp. 135–144. Birkhuser, Basel (2006)

    Chapter  Google Scholar 

  4. Marple, S.L.: Two-dimensional lattice linear prediction parameter estimation method and fast algorithm. IEEE Signal Process. Lett. 7(6), 164–168 (2000)

    Article  Google Scholar 

  5. Serban, I., Turcu, F., Najim, M.: Schur coefficients in several variables. J. Math. Anal. Applicat. 320, 293–302 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  6. Borys, A.: Nonlinear Aspects of Telecommunications: Discrete Volterra Series and Nonlinear Echo Cancellation. CRC Press LLC, Boca Raton (2001) ISBN: 9780849325717

    Google Scholar 

  7. Stenger, A., Kellermann, W., Rabenstein, R.: Nonlinear acoustic echo cancellation with 2nd order adaptive volterra filters. In: ICASSP (1999)

    Google Scholar 

  8. Stenger, A., Kellermann, W.: RLS-Adapted Polynomial for Nonlinear Acoustic Echo Cancelling. Signal Processing 80, 1747–1760 (2000)

    Article  MATH  Google Scholar 

  9. Biernacki, P.: Orthogonal Schur-type solution of the nonlinear echo-cancelling problem. In: Proc. 14th IEEE International Conference on Electronics, Circuits and Systems. ICECS 2007, Marrakech, Morocco, December 11-14, pp. 318–321. IEEE, Piscataway (2007)

    Chapter  Google Scholar 

  10. Biernacki, P.: Geometric solution of the nonlinear echo cancelation problem. In: Proc. International Conference on Signals and Electronic Systems, ICSES 2006, Lodz, Poland, September 17-20, vol. 1, pp. 171–174 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Biernacki, P. (2010). A New Strategy of Adaptive Nonlinear Echo Cancelling Volterra-Wiener Filter Structure Selection. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15387-7_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15387-7_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15386-0

  • Online ISBN: 978-3-642-15387-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics