Block Implementation of High-Speed IIR Adaptive Noise Canceller

Xiaohua WU; Shang LI; Nobuaki TAKAHASHI; Tsuyoshi TAKEBE

Block Implementation of High-Speed IIR Adaptive Noise Canceller

Xiaohua WU, Shang LI, Nobuaki TAKAHASHI, Tsuyoshi TAKEBE

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In this paper, a block implementation of high-speed IIR adaptive noise canceller is proposed. First, the block difference equation of an IIR filter is derived by the difference equation for high-speed signal processing. It is shown that the computational complexity for updating the coefficients of IIR adaptive filter can be reduced by using the relations between the elements of coefficient matrices of block difference equation. Secondly, the block implementation of IIR adaptive noise canceller is proposed in which the convergence rate is increased by successively adjusting filter Q-factors. Finally, the usefulness of proposed block implementation is verified by the computer simulations.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E80-A No.3 pp.466-471

Publication Date: 1997/03/25

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Type of Manuscript: Special Section PAPER (Special Section of Selected Papers from the 9th Karuizawa Workshop on Circuits and Systems)

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Xiaohua WU, Shang LI, Nobuaki TAKAHASHI, Tsuyoshi TAKEBE, "Block Implementation of High-Speed IIR Adaptive Noise Canceller" in IEICE TRANSACTIONS on Fundamentals, vol. E80-A, no. 3, pp. 466-471, March 1997, doi: .
Abstract: In this paper, a block implementation of high-speed IIR adaptive noise canceller is proposed. First, the block difference equation of an IIR filter is derived by the difference equation for high-speed signal processing. It is shown that the computational complexity for updating the coefficients of IIR adaptive filter can be reduced by using the relations between the elements of coefficient matrices of block difference equation. Secondly, the block implementation of IIR adaptive noise canceller is proposed in which the convergence rate is increased by successively adjusting filter Q-factors. Finally, the usefulness of proposed block implementation is verified by the computer simulations.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e80-a_3_466/_p

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@ARTICLE{e80-a_3_466,
author={Xiaohua WU, Shang LI, Nobuaki TAKAHASHI, Tsuyoshi TAKEBE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Block Implementation of High-Speed IIR Adaptive Noise Canceller},
year={1997},
volume={E80-A},
number={3},
pages={466-471},
abstract={In this paper, a block implementation of high-speed IIR adaptive noise canceller is proposed. First, the block difference equation of an IIR filter is derived by the difference equation for high-speed signal processing. It is shown that the computational complexity for updating the coefficients of IIR adaptive filter can be reduced by using the relations between the elements of coefficient matrices of block difference equation. Secondly, the block implementation of IIR adaptive noise canceller is proposed in which the convergence rate is increased by successively adjusting filter Q-factors. Finally, the usefulness of proposed block implementation is verified by the computer simulations.},
keywords={},
doi={},
ISSN={},
month={March},}

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TY - JOUR
TI - Block Implementation of High-Speed IIR Adaptive Noise Canceller
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 466
EP - 471
AU - Xiaohua WU
AU - Shang LI
AU - Nobuaki TAKAHASHI
AU - Tsuyoshi TAKEBE
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E80-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 1997
AB - In this paper, a block implementation of high-speed IIR adaptive noise canceller is proposed. First, the block difference equation of an IIR filter is derived by the difference equation for high-speed signal processing. It is shown that the computational complexity for updating the coefficients of IIR adaptive filter can be reduced by using the relations between the elements of coefficient matrices of block difference equation. Secondly, the block implementation of IIR adaptive noise canceller is proposed in which the convergence rate is increased by successively adjusting filter Q-factors. Finally, the usefulness of proposed block implementation is verified by the computer simulations.
ER -