A new configuration is proposed for adaptive Rank Order Filters ('AROF') which adaptively extract the 'optimal rank'. The optimal rank is determined using the 'noise elimination efficiency' of ROF. The simulated results show that the AROF is more effective than the conventional rank-fixed ROFs at eliminating impulse noise.
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Kazumasa KOBAYASHI, Yoshiyuki SUZUKI, Masahide ABE, "New Configuration of Adaptive Rank Order Filters for Impulse Noise Elimination" in IEICE TRANSACTIONS on Fundamentals,
vol. E74-A, no. 12, pp. 3939-3942, December 1991, doi: .
Abstract: A new configuration is proposed for adaptive Rank Order Filters ('AROF') which adaptively extract the 'optimal rank'. The optimal rank is determined using the 'noise elimination efficiency' of ROF. The simulated results show that the AROF is more effective than the conventional rank-fixed ROFs at eliminating impulse noise.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e74-a_12_3939/_p
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@ARTICLE{e74-a_12_3939,
author={Kazumasa KOBAYASHI, Yoshiyuki SUZUKI, Masahide ABE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={New Configuration of Adaptive Rank Order Filters for Impulse Noise Elimination},
year={1991},
volume={E74-A},
number={12},
pages={3939-3942},
abstract={A new configuration is proposed for adaptive Rank Order Filters ('AROF') which adaptively extract the 'optimal rank'. The optimal rank is determined using the 'noise elimination efficiency' of ROF. The simulated results show that the AROF is more effective than the conventional rank-fixed ROFs at eliminating impulse noise.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - New Configuration of Adaptive Rank Order Filters for Impulse Noise Elimination
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3939
EP - 3942
AU - Kazumasa KOBAYASHI
AU - Yoshiyuki SUZUKI
AU - Masahide ABE
PY - 1991
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E74-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 1991
AB - A new configuration is proposed for adaptive Rank Order Filters ('AROF') which adaptively extract the 'optimal rank'. The optimal rank is determined using the 'noise elimination efficiency' of ROF. The simulated results show that the AROF is more effective than the conventional rank-fixed ROFs at eliminating impulse noise.
ER -