This paper proposes a new implementation of an adaptive noise canceller based upon a parallel block structure, which aims to raise the processing and convergence rates and to improve the steady-state performance. The procedure is as follows: First, an IIR bandpass filter with a variable center angular frequency using adaptive Q-factor control and two adaptive control signal generators are realized by the parallel block structure. Secondly, a new algorithm for adaptive Q-factor control with parallel block structure is proposed to improve the convergence characteristic. In addition, the steady-state performance of the filter is stabilized by using the variable step size parameter in adaptive control of the center frequency and the speed up of the convergence rate is achieved by adopting a normalized gradient algorithm for adaptive control. Finally, simulation results are given to demonstrate the convergence performance.
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Chawalit BENJANGKAPRASERT, Nobuaki TAKAHASHI, Tsuyoshi TAKEBE, "Stabilized Fast Adaptive High-Speed Noise Canceller with Parallel Block Structure" in IEICE TRANSACTIONS on Fundamentals,
vol. E87-A, no. 8, pp. 1965-1972, August 2004, doi: .
Abstract: This paper proposes a new implementation of an adaptive noise canceller based upon a parallel block structure, which aims to raise the processing and convergence rates and to improve the steady-state performance. The procedure is as follows: First, an IIR bandpass filter with a variable center angular frequency using adaptive Q-factor control and two adaptive control signal generators are realized by the parallel block structure. Secondly, a new algorithm for adaptive Q-factor control with parallel block structure is proposed to improve the convergence characteristic. In addition, the steady-state performance of the filter is stabilized by using the variable step size parameter in adaptive control of the center frequency and the speed up of the convergence rate is achieved by adopting a normalized gradient algorithm for adaptive control. Finally, simulation results are given to demonstrate the convergence performance.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e87-a_8_1965/_p
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@ARTICLE{e87-a_8_1965,
author={Chawalit BENJANGKAPRASERT, Nobuaki TAKAHASHI, Tsuyoshi TAKEBE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Stabilized Fast Adaptive High-Speed Noise Canceller with Parallel Block Structure},
year={2004},
volume={E87-A},
number={8},
pages={1965-1972},
abstract={This paper proposes a new implementation of an adaptive noise canceller based upon a parallel block structure, which aims to raise the processing and convergence rates and to improve the steady-state performance. The procedure is as follows: First, an IIR bandpass filter with a variable center angular frequency using adaptive Q-factor control and two adaptive control signal generators are realized by the parallel block structure. Secondly, a new algorithm for adaptive Q-factor control with parallel block structure is proposed to improve the convergence characteristic. In addition, the steady-state performance of the filter is stabilized by using the variable step size parameter in adaptive control of the center frequency and the speed up of the convergence rate is achieved by adopting a normalized gradient algorithm for adaptive control. Finally, simulation results are given to demonstrate the convergence performance.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Stabilized Fast Adaptive High-Speed Noise Canceller with Parallel Block Structure
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1965
EP - 1972
AU - Chawalit BENJANGKAPRASERT
AU - Nobuaki TAKAHASHI
AU - Tsuyoshi TAKEBE
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E87-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2004
AB - This paper proposes a new implementation of an adaptive noise canceller based upon a parallel block structure, which aims to raise the processing and convergence rates and to improve the steady-state performance. The procedure is as follows: First, an IIR bandpass filter with a variable center angular frequency using adaptive Q-factor control and two adaptive control signal generators are realized by the parallel block structure. Secondly, a new algorithm for adaptive Q-factor control with parallel block structure is proposed to improve the convergence characteristic. In addition, the steady-state performance of the filter is stabilized by using the variable step size parameter in adaptive control of the center frequency and the speed up of the convergence rate is achieved by adopting a normalized gradient algorithm for adaptive control. Finally, simulation results are given to demonstrate the convergence performance.
ER -