Dichotomous coordinate descent (DCD) iterations method has been proposed for adaptive feedback cancellation, which uses a fixed number of iterations and a fixed amplitude range. In this paper, improved DCD algorithms are proposed, which substitute the constant number of iterations and the amplitude range with a variable number of iterations(VI) and/or a variable amplitude range(VA). Thus VI-DCD, VA-DCD and VIA-DCD algorithms are obtained. Computer simulations are used to compare the performance of the proposed algorithms against original DCD algorithm, and simulation results demonstrate that significant improvements are achieved in the convergence speed and accuracy. Another notable conclusion by further simulations is that the proposed algorithms achieve superior performance with a real speech segment as the input.
Chao DONG
Chinese Academy of Sciences,Graduate School of the Chinese Academy of Sciences
Li GAO
Chinese Academy of Sciences
Ying HONG
Chinese Academy of Sciences
Chengpeng HAO
Chinese Academy of Sciences
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Chao DONG, Li GAO, Ying HONG, Chengpeng HAO, "Adaptive Feedback Cancellation on Improved DCD Algorithms" in IEICE TRANSACTIONS on Fundamentals,
vol. E96-A, no. 6, pp. 1478-1481, June 2013, doi: 10.1587/transfun.E96.A.1478.
Abstract: Dichotomous coordinate descent (DCD) iterations method has been proposed for adaptive feedback cancellation, which uses a fixed number of iterations and a fixed amplitude range. In this paper, improved DCD algorithms are proposed, which substitute the constant number of iterations and the amplitude range with a variable number of iterations(VI) and/or a variable amplitude range(VA). Thus VI-DCD, VA-DCD and VIA-DCD algorithms are obtained. Computer simulations are used to compare the performance of the proposed algorithms against original DCD algorithm, and simulation results demonstrate that significant improvements are achieved in the convergence speed and accuracy. Another notable conclusion by further simulations is that the proposed algorithms achieve superior performance with a real speech segment as the input.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E96.A.1478/_p
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@ARTICLE{e96-a_6_1478,
author={Chao DONG, Li GAO, Ying HONG, Chengpeng HAO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Adaptive Feedback Cancellation on Improved DCD Algorithms},
year={2013},
volume={E96-A},
number={6},
pages={1478-1481},
abstract={Dichotomous coordinate descent (DCD) iterations method has been proposed for adaptive feedback cancellation, which uses a fixed number of iterations and a fixed amplitude range. In this paper, improved DCD algorithms are proposed, which substitute the constant number of iterations and the amplitude range with a variable number of iterations(VI) and/or a variable amplitude range(VA). Thus VI-DCD, VA-DCD and VIA-DCD algorithms are obtained. Computer simulations are used to compare the performance of the proposed algorithms against original DCD algorithm, and simulation results demonstrate that significant improvements are achieved in the convergence speed and accuracy. Another notable conclusion by further simulations is that the proposed algorithms achieve superior performance with a real speech segment as the input.},
keywords={},
doi={10.1587/transfun.E96.A.1478},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - Adaptive Feedback Cancellation on Improved DCD Algorithms
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1478
EP - 1481
AU - Chao DONG
AU - Li GAO
AU - Ying HONG
AU - Chengpeng HAO
PY - 2013
DO - 10.1587/transfun.E96.A.1478
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E96-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2013
AB - Dichotomous coordinate descent (DCD) iterations method has been proposed for adaptive feedback cancellation, which uses a fixed number of iterations and a fixed amplitude range. In this paper, improved DCD algorithms are proposed, which substitute the constant number of iterations and the amplitude range with a variable number of iterations(VI) and/or a variable amplitude range(VA). Thus VI-DCD, VA-DCD and VIA-DCD algorithms are obtained. Computer simulations are used to compare the performance of the proposed algorithms against original DCD algorithm, and simulation results demonstrate that significant improvements are achieved in the convergence speed and accuracy. Another notable conclusion by further simulations is that the proposed algorithms achieve superior performance with a real speech segment as the input.
ER -