It is well known that based on the structure of a transversal filter, the RLS equaliser provides the fastest convergence in stationary environments. This paper addresses an adaptive transversal equaliser which has the potential to provide more faster convergence than the RLS equaliser. A comparison is made with respect to computational complexity required for each update of equaliser coefficients, and computer simulations are demonstrated to show the superiority of the proposed equaliser.
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Tetsuya SHIMAMURA, "A Fast Converging RLS Equaliser" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 2, pp. 675-680, February 2001, doi: .
Abstract: It is well known that based on the structure of a transversal filter, the RLS equaliser provides the fastest convergence in stationary environments. This paper addresses an adaptive transversal equaliser which has the potential to provide more faster convergence than the RLS equaliser. A comparison is made with respect to computational complexity required for each update of equaliser coefficients, and computer simulations are demonstrated to show the superiority of the proposed equaliser.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_2_675/_p
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@ARTICLE{e84-a_2_675,
author={Tetsuya SHIMAMURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Fast Converging RLS Equaliser},
year={2001},
volume={E84-A},
number={2},
pages={675-680},
abstract={It is well known that based on the structure of a transversal filter, the RLS equaliser provides the fastest convergence in stationary environments. This paper addresses an adaptive transversal equaliser which has the potential to provide more faster convergence than the RLS equaliser. A comparison is made with respect to computational complexity required for each update of equaliser coefficients, and computer simulations are demonstrated to show the superiority of the proposed equaliser.},
keywords={},
doi={},
ISSN={},
month={February},}
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TY - JOUR
TI - A Fast Converging RLS Equaliser
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 675
EP - 680
AU - Tetsuya SHIMAMURA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2001
AB - It is well known that based on the structure of a transversal filter, the RLS equaliser provides the fastest convergence in stationary environments. This paper addresses an adaptive transversal equaliser which has the potential to provide more faster convergence than the RLS equaliser. A comparison is made with respect to computational complexity required for each update of equaliser coefficients, and computer simulations are demonstrated to show the superiority of the proposed equaliser.
ER -