A fast Newton/LMS algorithm is proposed which uses an efficient inversion technique of input autocorrelation matrix when the periodic pseudo random sequence is used as the reference signal. The number of operations is greatly reduced and the computational results show fast convergence rate and low misadjustment error. And the application of the algorithm to the case of nonperiodic reference signal is described.
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Tae-Sung KIM, Seong-Dae KIM, "A Fast Newton/LMS Algorithm" in IEICE TRANSACTIONS on Fundamentals,
vol. E77-A, no. 7, pp. 1154-1156, July 1994, doi: .
Abstract: A fast Newton/LMS algorithm is proposed which uses an efficient inversion technique of input autocorrelation matrix when the periodic pseudo random sequence is used as the reference signal. The number of operations is greatly reduced and the computational results show fast convergence rate and low misadjustment error. And the application of the algorithm to the case of nonperiodic reference signal is described.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e77-a_7_1154/_p
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@ARTICLE{e77-a_7_1154,
author={Tae-Sung KIM, Seong-Dae KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Fast Newton/LMS Algorithm},
year={1994},
volume={E77-A},
number={7},
pages={1154-1156},
abstract={A fast Newton/LMS algorithm is proposed which uses an efficient inversion technique of input autocorrelation matrix when the periodic pseudo random sequence is used as the reference signal. The number of operations is greatly reduced and the computational results show fast convergence rate and low misadjustment error. And the application of the algorithm to the case of nonperiodic reference signal is described.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - A Fast Newton/LMS Algorithm
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1154
EP - 1156
AU - Tae-Sung KIM
AU - Seong-Dae KIM
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E77-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 1994
AB - A fast Newton/LMS algorithm is proposed which uses an efficient inversion technique of input autocorrelation matrix when the periodic pseudo random sequence is used as the reference signal. The number of operations is greatly reduced and the computational results show fast convergence rate and low misadjustment error. And the application of the algorithm to the case of nonperiodic reference signal is described.
ER -