An Adaptive Howling Canceller Using 2-Tap Linear Predictor

Abstract

This paper proposes an adaptive howling canceller using notch filter and 2-tap linear predictor, where howling consists of a single sinusoidal signal whose magnitude is much greater than other frequency’s magnitudes. The employed 2-tap linear predictor can quickly detect howling due to its high convergence speed. Although the output signal of the 2-tap linear predictor cannot be directly used as one of a howling canceller, we can obtain the frequency of howling from the filter coefficient. We utilize the filter coefficient of the 2-tap linear predictor to design a notch filter which achieves a very narrow elimination band. The designed notch filter removes only howling and retains other desired signals. Simulation results show that the proposed adaptive howling canceller can quickly detect and effectively remove howling.

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A. Sogami, Y. Sugiura, A. Kawamura and Y. Iiguni, "An Adaptive Howling Canceller Using 2-Tap Linear Predictor," Circuits and Systems, Vol. 4 No. 1, 2013, pp. 6-10. doi: 10.4236/cs.2013.41002.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] S. Haykin, “Introduction to Adaptive Filters,” Macmillan Publishing Company, New York, 1984.
[2] A. Sogami, A. Kawamura and Y. Iiguni, “Improvement of Speech Quality in Distance-Based Howling Canceller,” IEICE Transactions on Fundamentals, Vol. 92, No. 4, 2009, pp. 1039-1046.
[3] A. Soagami, A. Kawamura and Y. Iiguni, “A High Speech Quality Distance-Based Howling Canceller with Adaptive Cascade Notch Filter and Silent Pilot Signal,” IEICE Transactions on Fundamentals, Vol. 94, No. 11, 2011, pp. 2306-2314.
[4] S. Nishimura, “An Improved Adaptive Notch Filter for Detection of Multiple Sinusoids,” IEICE Transactions on Fundamentals, Vol. 77, No. 6, 1994, pp. 950-955.
[5] A. Nehorai, “A Minimal Parameter Adaptive Notch Filter with Constrained Poles and Zeros,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 33, No. 4, 1985, pp. 983-996. doi:10.1109/TASSP.1985.1164643
[6] H. C. Chong and U. L. Sang, “Adaptive Line Enhancement by Using an IIR Lattice Notch Filter,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 37, No. 4, 1989, pp. 585-589. doi:10.1109/29.17543
[7] C. C. Tseng and S. C. Pei, “IIR Multiple Notch Filter Design Based on Allpass Filter,” IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 44, No. 2, 1997, pp. 133-136.
[8] S. C. Pei, W. S. Lu and C. C. Tseng, “Analytical Two-Dimensional IIR Notch Filter Design Using Outer Product Expansion,” IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., Vol. 44, No. 9, 1997, pp. 765–768.
[9] Y. V. Joshi and S. C. D. Roy, “Design of IIR Multiple Notch Filters Based on All-Pass Filters,” IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 46, No. 2, 1999, pp. 134-138.
[10] V. DeBrunner, “An Adaptive, High-Order, Notch Filter Using All Pass Sections,” IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 3, 1998, pp. 1477-1480.
[11] Y. C. Lim, Y. X. Zou and N. Zheng, “A Piloted Adaptive Notch Filter,” IEEE Transactions on Signal Processing, Vol. 53, No. 4, 2005, pp. 1310-1323. doi:10.1109/TSP.2005.843742
[12] A. Kawamura, Y. Itoh, J. Okello, M. Kobayashi and Y. Fukui, “Parallel Composition Based Adaptive Notch Filter: Performance and Analysis,” IEICE Transactions on Fundamentals, Vol. 87, No. 7, 2004, pp. 1747-1755.
[13] A. Kawamura, Y. Iiguni and Y. Itoh, “An Adaptive Algorithm with Variable Step-Size for Parallel Notch Filter,” IEICE Transactions on Fundamentals, Vol. 89, No. 2, 2006, pp. 511-519.

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