IEICE TRANSACTIONS on Fundamentals
A Low-Complexity Complementary Pair Affine Projection Adaptive Filter
Summary :
We present a low-complexity complementary pair affine projection (CP-AP) adaptive filter which employs the intermittent update of the filter coefficients. To achieve both a fast convergence rate and a small residual error, we use a scheme combining fast and slow AP filters, while significantly reducing the computational complexity. By employing an evolutionary method which automatically determines the update intervals, the update frequencies of the two constituent filters are significantly decreased. Experimental results show that the proposed CP-AP adaptive filter has an advantage over conventional adaptive filters with a parallel structure in that it has a similar convergence performance with a substantial reduction in the total number of updates.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E97-A No.10 pp.2074-2078
- Publication Date
- 2014/10/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E97.A.2074
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Kwang-Hoon KIM
Samsung Electronics Co., Ltd.
Young-Seok CHOI
Gangneung-Wonju National University
Seong-Eun KIM
Massachusetts Institute of Technology
Woo-Jin SONG
Pohang University of Science and Technology (POSTECH)
Keyword
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Kwang-Hoon KIM, Young-Seok CHOI, Seong-Eun KIM, Woo-Jin SONG, "A Low-Complexity Complementary Pair Affine Projection Adaptive Filter" in IEICE TRANSACTIONS on Fundamentals,
vol. E97-A, no. 10, pp. 2074-2078, October 2014, doi: 10.1587/transfun.E97.A.2074.
Abstract: We present a low-complexity complementary pair affine projection (CP-AP) adaptive filter which employs the intermittent update of the filter coefficients. To achieve both a fast convergence rate and a small residual error, we use a scheme combining fast and slow AP filters, while significantly reducing the computational complexity. By employing an evolutionary method which automatically determines the update intervals, the update frequencies of the two constituent filters are significantly decreased. Experimental results show that the proposed CP-AP adaptive filter has an advantage over conventional adaptive filters with a parallel structure in that it has a similar convergence performance with a substantial reduction in the total number of updates.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.2074/_p
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@ARTICLE{e97-a_10_2074,
author={Kwang-Hoon KIM, Young-Seok CHOI, Seong-Eun KIM, Woo-Jin SONG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Low-Complexity Complementary Pair Affine Projection Adaptive Filter},
year={2014},
volume={E97-A},
number={10},
pages={2074-2078},
abstract={We present a low-complexity complementary pair affine projection (CP-AP) adaptive filter which employs the intermittent update of the filter coefficients. To achieve both a fast convergence rate and a small residual error, we use a scheme combining fast and slow AP filters, while significantly reducing the computational complexity. By employing an evolutionary method which automatically determines the update intervals, the update frequencies of the two constituent filters are significantly decreased. Experimental results show that the proposed CP-AP adaptive filter has an advantage over conventional adaptive filters with a parallel structure in that it has a similar convergence performance with a substantial reduction in the total number of updates.},
keywords={},
doi={10.1587/transfun.E97.A.2074},
ISSN={1745-1337},
month={October},}
Copy
TY - JOUR
TI - A Low-Complexity Complementary Pair Affine Projection Adaptive Filter
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2074
EP - 2078
AU - Kwang-Hoon KIM
AU - Young-Seok CHOI
AU - Seong-Eun KIM
AU - Woo-Jin SONG
PY - 2014
DO - 10.1587/transfun.E97.A.2074
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2014
AB - We present a low-complexity complementary pair affine projection (CP-AP) adaptive filter which employs the intermittent update of the filter coefficients. To achieve both a fast convergence rate and a small residual error, we use a scheme combining fast and slow AP filters, while significantly reducing the computational complexity. By employing an evolutionary method which automatically determines the update intervals, the update frequencies of the two constituent filters are significantly decreased. Experimental results show that the proposed CP-AP adaptive filter has an advantage over conventional adaptive filters with a parallel structure in that it has a similar convergence performance with a substantial reduction in the total number of updates.
ER -
English
