Advertisement

Design of an Improved Echo Canceller System Based on Internet of Things

  • Yi Li
  • Yi Lu
  • Douwa An
Conference paper
  • 1.6k Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 143)

Abstract

This paper focuses on a modified echo canceller system developed to satisfy the requirements of long network time-delay in the Internet of Things. The NLMS algorithm used in it is modified to reduce the computational complexity with the characteristics of fast convergence speed and low steady-state mean-square error (MSE). Hardware platform and software program have been designed to verify this algorithm. The simulation results by MATLAB and practical system are presented in support of the feasibility and validity of the proposed algorithm and echo canceller system.

Keywords

Echo Canceller Internet of Things NLMS 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    ITU Internet Reports 2005: The Internet of Things, Genève, ITU (2005), http://www.itu.int/osg/spu/publications/internetofthings/ (accessed on April 2010)
  2. 2.
    Le Bouquin-Jeannes, R., Faucon, G.: Control of an adaptive echo canceller using a near-end speech detector. Signal Processing 81(3), 483–489 (2001)CrossRefzbMATHGoogle Scholar
  3. 3.
    Lai, C.-A.: NLMS algorithm with decreasing step size for adaptive IIR filters. Signal Processing 82(10), 1305–1316 (2002)CrossRefzbMATHGoogle Scholar
  4. 4.
    Zerguine, A.: Convergence behavior of the normalized least mean fourth algorithm. In: Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154), vol. 1, pp. 275–278 (2000)Google Scholar
  5. 5.
    Wu, J., Doroslovacki, M.: Partial update NLMS algorithm for sparse system identification with switching between coefficient-based and input-based selection. In: CISS 2008, the 42nd Annual Conference on Information Sciences and Systems, pp. 237–240 (2008)Google Scholar
  6. 6.
    Yusuke, T., Tetsuya, S.: An improved NLMS algorithm for channel equalization. In: IEEE International Symposium on Circuits and Systems, vol. 5, pp. 353–356 (2002)Google Scholar
  7. 7.
    Slock, D.T.M.: On the convergence behavior of the LMS and the normalized LMS algorithms. IEEE Transactions on Signal Processing, Vol 41(9), 2811–2825 (1993)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yi Li
    • 1
  • Yi Lu
    • 2
  • Douwa An
    • 3
  1. 1.School of Electronic and Information EngineeringTianjin UniversityTianjinP.R. China
  2. 2.Technicolor (China) Technology Co. LtdBeijingP.R. China
  3. 3.ZTE CorporationXianP.R. China

Personalised recommendations