Variable Tap-Length NLMS Algorithm with Adaptive Parameter
Summary :
Improved fractional variable tap-length adaptive algorithm that contains Sigmoid limited fluctuation function and adaptive variable step-size of tap-length based on fragment-full error is presented. The proposed algorithm can solve many deficiencies in previous algorithm, comprising small convergence rate and weak anti-interference ability. The parameters are able to modify reasonably on the basis of different situations. The Sigmoid constrained function can decrease the fluctuant amplitude of the instantaneous errors effectively and improves the ability of anti-noise interference. Simulations demonstrate that the proposed algorithm equips better performance.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.8 pp.1720-1723
- Publication Date
- 2017/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.1720
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Yufei HAN
Shenzhen Graduate School of Harbin Institute of Technology
Mingjiang WANG
Shenzhen Graduate School of Harbin Institute of Technology
Boya ZHAO
Shenzhen Graduate School of Harbin Institute of Technology
Keyword
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Yufei HAN, Mingjiang WANG, Boya ZHAO, "Variable Tap-Length NLMS Algorithm with Adaptive Parameter" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 8, pp. 1720-1723, August 2017, doi: 10.1587/transfun.E100.A.1720.
Abstract: Improved fractional variable tap-length adaptive algorithm that contains Sigmoid limited fluctuation function and adaptive variable step-size of tap-length based on fragment-full error is presented. The proposed algorithm can solve many deficiencies in previous algorithm, comprising small convergence rate and weak anti-interference ability. The parameters are able to modify reasonably on the basis of different situations. The Sigmoid constrained function can decrease the fluctuant amplitude of the instantaneous errors effectively and improves the ability of anti-noise interference. Simulations demonstrate that the proposed algorithm equips better performance.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.1720/_p
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@ARTICLE{e100-a_8_1720,
author={Yufei HAN, Mingjiang WANG, Boya ZHAO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Variable Tap-Length NLMS Algorithm with Adaptive Parameter},
year={2017},
volume={E100-A},
number={8},
pages={1720-1723},
abstract={Improved fractional variable tap-length adaptive algorithm that contains Sigmoid limited fluctuation function and adaptive variable step-size of tap-length based on fragment-full error is presented. The proposed algorithm can solve many deficiencies in previous algorithm, comprising small convergence rate and weak anti-interference ability. The parameters are able to modify reasonably on the basis of different situations. The Sigmoid constrained function can decrease the fluctuant amplitude of the instantaneous errors effectively and improves the ability of anti-noise interference. Simulations demonstrate that the proposed algorithm equips better performance.},
keywords={},
doi={10.1587/transfun.E100.A.1720},
ISSN={1745-1337},
month={August},}
Copy
TY - JOUR
TI - Variable Tap-Length NLMS Algorithm with Adaptive Parameter
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1720
EP - 1723
AU - Yufei HAN
AU - Mingjiang WANG
AU - Boya ZHAO
PY - 2017
DO - 10.1587/transfun.E100.A.1720
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2017
AB - Improved fractional variable tap-length adaptive algorithm that contains Sigmoid limited fluctuation function and adaptive variable step-size of tap-length based on fragment-full error is presented. The proposed algorithm can solve many deficiencies in previous algorithm, comprising small convergence rate and weak anti-interference ability. The parameters are able to modify reasonably on the basis of different situations. The Sigmoid constrained function can decrease the fluctuant amplitude of the instantaneous errors effectively and improves the ability of anti-noise interference. Simulations demonstrate that the proposed algorithm equips better performance.
ER -
English
