Skip to main content
SpringerLink
Log in

Data-Selective Adaptive Filtering

  • Chapter
  • First Online:
Adaptive Filtering

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

Access this chapter

Log in via an institution
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

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. F. C. Schweppe, ‘‘Recursive state estimate: Unknown but bounded errors and system inputs,’’ IEEE Trans. on Automatic Control, vol. 13, pp. 22-28, Feb. 1968.

    Google Scholar 

  2. E. Fogel andY. F. Huang, ‘‘On the value of information in system identification - bounded noise case,’’ Automatica, vol. 18, pp. 229-238, March 1982.

    Google Scholar 

  3. J. R. Deller, ‘‘Set-membership identification in digital signal processing,’’ IEEE Acoust., Speech, Signal Processing Magazine, vol. 6, pp. 4-20, Oct. 1989.

    Google Scholar 

  4. J. R. Deller, M. Nayeri, and S. F. Odeh, ‘‘Least-squares identification with error bounds for real-time signal processing and control,’’ Proceedings of IEEE, vol. 81, pp. 815-849, June 1993.

    Google Scholar 

  5. S. Dasgupta and Y.-F. Huang, ‘‘Asymptotically convergent modified recursive least-squares with data dependent updating and forgetting factor for systems with bounded noise,’’ IEEE Trans. on Information Theory, vol. 33, pp. 383-392, May 1987.

    Google Scholar 

  6. A. K. Rao and Y.-F. Huang, ‘‘Tracking characteristics of an OBE parameter-estimation algorithm,’’ IEEE Trans. on Signal Processing, vol. 41, pp. 1140-1148, March 1993.

    Google Scholar 

  7. S. Gollamudi, S. Nagaraj, S. Kapoor, and Y.-F. Huang, ‘‘Set-membership filtering and a setmembership normalized LMS algorithm with an adaptive step size,’’ IEEE Signal Processing Letters, vol. 5, pp. 111-114, May 1998.

    Google Scholar 

  8. S. Gollamudi, S. Nagaraj, S. Kapoor, and Y.-F. Huang, ‘‘Set-membership adaptive equalization and updator-shared implementation for multiple channel communications systems,’’ IEEETrans. on Signal Processing, vol. 46, pp. 2372-2384, Sept. 1998.

    Google Scholar 

  9. S. Nagaraj, S. Gollamudi, S. Kapoor, and Y.-F. Huang, ‘‘BEACON: An adaptive set-membership filtering technique with sparse updates,’’ IEEE Trans. on Signal Processing, vol. 47, pp. 2928- 2941, Nov. 1999.

    Google Scholar 

  10. P. S. R. Diniz and S. Werner, ‘‘Set-membership binormalized data reusing LMS algorithms,’’ IEEE Trans. on Signal Processing, vol. 51, pp. 124-134, Jan. 2003.

    Google Scholar 

  11. S.Werner and P. S. R. Diniz, ‘‘Set-membership affine projection algorithm,’’ IEEE Signal Processing Letters, vol. 8, pp. 231-235, Aug. 2001.

    Google Scholar 

  12. A. Antoniou and W.-S. Lu, Practical Optimization: Algorithms and Engineering Applications, Springer, NewYork, NY, 2007.

    MATH  Google Scholar 

  13. J. A. Apolin’ario, M. L. R. de Campos, and P. S. R. Diniz, ‘‘The binormalized data-reusing LMS algorithm,’’ IEEE Trans. on Signal Processing, vol. 48, pp. 3235-3242, Nov. 2000.

    Google Scholar 

  14. S. C. Douglas, ‘‘Adaptive filters employing partial updating,’’ IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing, vol. 44, pp. 209-216, March 1997.

    Google Scholar 

  15. T. Aboulnasr and K. Mayyas, ‘‘Complexity reduction of the NLMS algorithm via selective coefficient updating,’’ IEEE Trans. on Signal Processing, vol. 47, pp. 1421-1427, May 1999.

    Google Scholar 

  16. S. C. Douğancçay and O. Tanrikulu, ‘‘Adaptive Filtering algorithms with selective partial updating,’’ IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing, vol. 48, pp. 762-769, Aug. 2001.

    Google Scholar 

  17. S. Werner, M. L. R. de Campos, and P. S. R. Diniz, ‘‘Partial-update NLMS algorithm with data-selective updating,’’ IEEE Trans. on Signal Processing, vol. 52, pp. 938-949, April 2004.

    Google Scholar 

  18. S. Werner, M. L. R. de Campos, and P. S. R. Diniz, ‘‘Mean-squared analysis of the partialupdate NLMS algorithm,’’ Brazilian Telecommunications Journal - SBrT, vol. 18, pp. 77-85, June 2003.

    Google Scholar 

  19. M. Godavarti and A. O. Hero, III, ‘‘Partial update LMS algorithms,’’ IEEE Trans. on Signal Processing, vol. 53, pp. 2384-2399, July 2005.

    Google Scholar 

  20. S.Werner, J. A. Apolin’ario Jr., and P. S. R. Diniz, ‘‘Set-membership proportionate affine projection algorithms,’’ EURASIP- Journal on Audio, Speech, and Music Processing, vol. 2007, pp. 1-10, Article ID 34242, 2007.

    Article  Google Scholar 

  21. S. C. Douğancçay and O. Tanrikulu, ‘‘Selective-partial-update NLMS and affine projection algorithms for acoustic echo cancellation,’’ Proc. IEEE Intern. Conf. on Acoust. Speech and Signal Processing, Istanbul, Turkey, pp. 448-451, June 2000.

    Google Scholar 

  22. P. S. R. Diniz, R. P. Braga, and S.Werner, ‘‘Set-membership affine projection algorithm for echo cancellation,’’ Proc. IEEE Intern. Symposium on Circuits and Systems, Island of Kos, Greece, pp. 405-408, May 2006.

    Google Scholar 

  23. S. Werner, P. S. R. Diniz, and J. E. W. Moreira, ‘‘Set-membership affine projection algorithm with variable data-reuse factor,’’ Proc. IEEE Intern. Symposium on Circuits and Systems, Island of Kos, Greece, pp. 261-264, May 2006.

    Google Scholar 

  24. L. Guo and Y.-F. Huang, ‘‘Set-membership adaptive filtering with parameter-dependent error bound tuning,’’ Proc. IEEE Intern. Conf. on Acoust. Speech and Signal Processing, Philadelphia, PA, pp. IV-369 - IV-372, May 2005.

    Google Scholar 

  25. J. F. Galdino, J. A. Apolin’ario, Jr., and M. L. R. de Campos, ‘‘Aset-membershipNLMSalgorithm with time-varying error bound,’’ Proc. IEEE Intern. Symposium on Circuits and Systems, Island of Kos, Greece, pp. 277-280, May 2006.

    Google Scholar 

  26. R. C. de Lamare and P. S. R. Diniz, ‘‘Set-membership adaptive algorithms based on time-varying error bounds for DS-CDMA systems,’’ Proc. IEEE Intern. Symposium on Circuits and Systems, Island of Kos, Greece, pp. 3466-3469, May 2006.

    Google Scholar 

  27. R. C. de Lamare and P. S. R. Diniz, ‘‘Blind constrained set-membership algorithms with timevarying bounds for CDMA interference suppression,’’ Proc. IEEE Intern. Conf. on Acoust. Speech and Signal Processing, Toulouse, France, pp. IV-617 - IV-620, May 2006.

    Google Scholar 

  28. R. C. de Lamare and P. S. R. Diniz, ‘‘Set-membership adaptive algorithms based on timevarying error bounds and their application to interference suppression,’’ IEEE International Telecommunications Symposium, Fortaleza, Brazil, pp. 563-567, Sept. 2006.

    Google Scholar 

  29. E. Hánsler and G. Schmidt, Acoustics Echo and Noise Control: A Practical Approach, John Wiley & Sons, Hoboken, NJ, 2004.

    Book  Google Scholar 

  30. J. Benesty, T. Gánsler, D. R. Morgan, M. M. Sondhi, and S. L. Gay, Advances in Network and Acoustics Echo Cancellation, Springer-Verlag, Berlin, Germany, 2001.

    Google Scholar 

  31. International Telecommunication Union, ITU-T G.168 Standard for Digital Network Echo Cancellers, June 2002.

    Google Scholar 

  32. J. G. Proakis, Digital Communications, McGraw Hill, NewYork, NY, 4th edition, 2001.

    Google Scholar 

  33. M. C. Jeruchim, P. Balaban, and K. San Shanmugan, Simulation of Communication Systems: Modeling Methodology and Techniques, Kluwer Academic Publishers, Norwell, MA, 2nd edition, 2000.

    Google Scholar 

  34. European Telecommunications Standards Institute, UMTS, technical report TR 101 112 V3.2.0, 1998-04.

    Google Scholar 

  35. E. H. Dinan and B. Jabbari, ‘‘Spreading codes for direct sequence CDMA and wideband CDMA cellular networks,’’ IEEE Communications Magazine, vol. 36, pp. 48-58, Sep. 1998.

    Google Scholar 

  36. J. I. Smith, ‘‘Computer generated multipath fading simulation for mobile radio,’’ IEEE Trans. on Vehicular Technology, vol. 24, pp. 39-40, Aug. 1975.

    Google Scholar 

  37. T. S. Rappaport, Wireless Communications: Principles and Practice, Prentice Hall, Englewood Cliffs, NJ, 2nd edition, 2002.

    Google Scholar 

  38. P. S. R. Diniz, E. A. B. da Silva, and S. L. Netto, Digital Signal Processing: System Analysis and Design, Cambridge University Press, Cambridge, UK, 2002.

    Google Scholar 

  39. S. Werner, J. A. Apolinário Jr., M. L. R. de Campos, and P. S. R. Diniz, ‘‘Low-complexity constrained affine-projection algorithms,’’ IEEE Trans. on Signal Processing, vol. 53, pp. 4545-4555, Dec. 2005.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    Paulo S.R. Diniz

Authors
  1. Paulo S.R. Diniz
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag US

About this chapter

Cite this chapter

Diniz, P.S. (2008). Data-Selective Adaptive Filtering. In: Adaptive Filtering. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-68606-6_6

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-68606-6_6

  • Published:

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-31274-3

  • Online ISBN: 978-0-387-68606-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation