A cumulant-based lattice algorithm for multichannel adaptive filtering is proposed in this paper. Proposed algorithm takes into account the advantages of higer-order statistics, that is, improvement of estimation accuracy, blindness to colored Gaussian noise and the possibility to estimate the nonminimum-phase system etc. Without invoking the Instrumental Variable (
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Mingyong ZHOU, Zhongkan LIU, Hiromitsu HAMA, "Cumulant-Based Adaptive Deconvolution for Multichannel Tracking" in IEICE TRANSACTIONS on Information,
vol. E79-D, no. 3, pp. 177-181, March 1996, doi: .
Abstract: A cumulant-based lattice algorithm for multichannel adaptive filtering is proposed in this paper. Proposed algorithm takes into account the advantages of higer-order statistics, that is, improvement of estimation accuracy, blindness to colored Gaussian noise and the possibility to estimate the nonminimum-phase system etc. Without invoking the Instrumental Variable (
URL: https://global.ieice.org/en_transactions/information/10.1587/e79-d_3_177/_p
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@ARTICLE{e79-d_3_177,
author={Mingyong ZHOU, Zhongkan LIU, Hiromitsu HAMA, },
journal={IEICE TRANSACTIONS on Information},
title={Cumulant-Based Adaptive Deconvolution for Multichannel Tracking},
year={1996},
volume={E79-D},
number={3},
pages={177-181},
abstract={A cumulant-based lattice algorithm for multichannel adaptive filtering is proposed in this paper. Proposed algorithm takes into account the advantages of higer-order statistics, that is, improvement of estimation accuracy, blindness to colored Gaussian noise and the possibility to estimate the nonminimum-phase system etc. Without invoking the Instrumental Variable (
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - Cumulant-Based Adaptive Deconvolution for Multichannel Tracking
T2 - IEICE TRANSACTIONS on Information
SP - 177
EP - 181
AU - Mingyong ZHOU
AU - Zhongkan LIU
AU - Hiromitsu HAMA
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E79-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 1996
AB - A cumulant-based lattice algorithm for multichannel adaptive filtering is proposed in this paper. Proposed algorithm takes into account the advantages of higer-order statistics, that is, improvement of estimation accuracy, blindness to colored Gaussian noise and the possibility to estimate the nonminimum-phase system etc. Without invoking the Instrumental Variable (
ER -