DOI QR코드

DOI QR Code

Applications and analysis on the subband nonlinear adaptive Volterra filter

부대역 비선형 Volterra 적응필터의 응용과 성능분석

  • Yang, Yoon Gi (Dept. Information and telecommunications, The University of Suwon) ;
  • Byun, Hee Jung (Dept. Information and telecommunications, The University of Suwon)
  • Received : 2013.04.10
  • Accepted : 2013.05.20
  • Published : 2013.06.30

Abstract

In this paper, the subband nonlinear adaptive Volterra filters are introduced and its analysis are presented. From the eigenvalue analysis of the input correlation matrix, we show that the proposed subband adaptive Volterra filter has superior convergence performance as compared to the conventional one, which shows that the it can be useful for the recently proposed subband nonlinear adaptive echo canceller. Also, the optimum filter in each subband are introduced and verified from the computer simulations.

본 논문에서는 부대역 신호를 사용한 병렬 적응 비선형 Volterra 필터를 소개하고, 이 시스템의 성능을 분석하는 것을 주요 내용으로 한다. 연구 결과 제시한 부대역 신호를 사용한 적응 Volterra 필터는 수렴성이 우수함을 입력신호의 상관함수의 eigenvalue 분포를 사용하여 해석적으로 도출되었으며, 이러한 응용이 최근에 보고된 적응 반향 제거기에서 유용하게 사용될 수 있음을 이론적으로 밝혔다. 또한 각 부대역 에서의 최적필터를 이론적으로 유도하였고 컴퓨터 모의실험으로 이를 검증하였다.

Keywords

References

  1. B. Widrow and S. Stearns, Adaptive Signal Processing. Englewood Cliffs, NJ, USA: Prentice Hall, 1985.
  2. J. S. Lim, Advanced Topics in Signal Processing. Prentice Hall, 1988.
  3. V. J. Mathews, "Adaptive polynomial filters," IEEE Signal Processing Magazine, pp. 10-26, July 1991.
  4. D. Zhou and Y. Wang, "Subband implementation of adaptive nonlinear filter for adaptive nonlinear echo cancellation," Journal of multimedia, Academy publisher, vol. 2, pp. 77-82, Apr. 2007.
  5. Y. G. Yang, N. I. Cho, and S. U. Lee, "On the performance analysis and applications of the subband adaptive digital filter," Signal Processing, vol. 41, pp. 295-307, Mar. 1995. https://doi.org/10.1016/0165-1684(94)00105-9
  6. M. V. Dokic and P. M. Clarkson, "On the performance of a second-order adaptive volterra filter," vol. 41, pp. 1944-1947, May 1993. https://doi.org/10.1109/78.215311
  7. F. Amano and H. Perez, "A new subband echo canceller structure," pp. 3585-3589.
  8. S. Makino, J. Noeauer, Y. Haneda, and A. Nakagawa, "SSB subband echo canceller using low-order projection algorithm," pp. 945-948.
  9. P. L. D. Leon and D. M. Etter, "Experimental results of subband acoustic echo cancellers under spherically invariant random process," pp. 961-964.
  10. J. C. Lee and C. K. Un, "Performance analysis of frequency-domain block LMS adaptive filters," IEEE Trans. Circuits and Systems, vol. 36, pp. 173- 189, Feb. 1989. https://doi.org/10.1109/31.20196
  11. S. Haykin, Adaptive Filter Theory. Prentice Hall, 1991.
  12. R. Crochiere and L. Rabiner, Multirate Digital Signal Processing. Englewood Cliffs, NJ, USA: Prentice Hall, 1983.