An Efficient Feedback Canceler for Hearing Aids Based on Approximated Affine Projection

  • Sangmin Lee
  • Inyoung Kim
  • Youngcheol Park
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4115)


In the feedback cancelation systems in hearing aids, signal cancelation and coloration artifacts can occur for a narrow-band input. In this paper, we propose a new adaptive feedback cancelation algorithm that can achieve fast convergence by approximating the affine projection (AP) algorithm and prevent signal cancelation by controlling the step-size. A Gram-Schmidt prediction error filter (GS-PEF) is used for a stable approximation of the AP algorithm, and the step-size is varied using the prediction factor of the input signal. Simulations results are presented to verify efficiency of the proposed algorithm.


Feedback Path Prediction Factor Acoustic Feedback Acoustic Echo Canceller NLMS Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Kates, J.M.: Feedback Cancellation in Hearing Aids: Results from A Computer Simulation. IEEE Trans. Signal Processing 39(9), 553–562 (1991)CrossRefGoogle Scholar
  2. Siqueira, M.G., Alwan, A.: Steady-State Analysis of Continuous Adaptation in Acoustic Feedback Reduction Systems for Hearing-aids. IEEE Trans. Speech Audio Processing 8(4), 443–453 (2000)CrossRefGoogle Scholar
  3. Kates, J.M.: Constrained Aaptation for Feedback Cancellation in Hearing Aids. J. Acoust. Soc. Am. 106(2), 1010–1019 (1999)CrossRefGoogle Scholar
  4. Ozeki, K., Umeda, T.: An Adaptive Filtering Algorithm Using An Orthogonal Projection to An Affine Subspace and Its Properties. Electron. Commun. Jpn. 67-A(5), 19–27 (1984)MathSciNetGoogle Scholar
  5. Gay, S.L., Tavathia, S.: The Fast Affine Projection Algorithm. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Detroit, MI, pp. 3023–3026 (1995)Google Scholar
  6. Jung, Y.W., Lee, J.H., Park, Y.C., Youn, D.H.: A New Adaptive Algorithm for Stereophonic Acoustic Echo Canceller. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Istanbul, Turkey, pp. 801–804 (2000)Google Scholar
  7. Albu, F., Kwan, H.K.: Combined Echo and Noise Cancellation Based on Gauss-Seidel Pseudo Affine Projection Algorithm. In: Proc. IEEE International Symposium on Compound Semiconductors (ISCS), Vancouver, Canada, pp. 505–508 (2004)Google Scholar
  8. Rupp, M.: A Family of Adaptive Filter Algorithms with Decorrelating Properties. IEEE Trans. Signal Processing 46(3), 771–775 (1998)CrossRefGoogle Scholar
  9. Benesty, J., Huang, Y.: Adaptive Signal Processing. Application to Real-world Problems. Springer, Berlin, Heidelberg (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sangmin Lee
    • 1
  • Inyoung Kim
    • 2
  • Youngcheol Park
    • 3
  1. 1.Division of Bionics & BioinfomaticsChonbuk National UniversityJeonjuKorea
  2. 2.Dept. of Biomedical Eng.Hanyang UniversitySeoulKorea
  3. 3.Computer & Telecomm. Eng. DivisionYonsei UniversityWonjuKorea

Personalised recommendations