A Complementary Pair LMS Algorithm for Adaptive Filtering
Summary :
This paper presents a new algorithm that can solve the problem of selecting appropriate update step size in the LMS algorithm. The proposed algorithm, called a Complementary Pair LMS (CP-LMS) algorithm, consists of two adaptive filters with different update step sizes operating in parallel, one filter re-initializing the other with the better coefficient estimates whenever possible. This new algorithm provides the faster convergence speed and the smaller steady-state error than those of a single filter with a fixed or variable step size.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E81-A No.7 pp.1493-1497
- Publication Date
- 1998/07/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Category
- Digital Signal Processing
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Min-Soo PARK, Woo-Jin SONG, "A Complementary Pair LMS Algorithm for Adaptive Filtering" in IEICE TRANSACTIONS on Fundamentals,
vol. E81-A, no. 7, pp. 1493-1497, July 1998, doi: .
Abstract: This paper presents a new algorithm that can solve the problem of selecting appropriate update step size in the LMS algorithm. The proposed algorithm, called a Complementary Pair LMS (CP-LMS) algorithm, consists of two adaptive filters with different update step sizes operating in parallel, one filter re-initializing the other with the better coefficient estimates whenever possible. This new algorithm provides the faster convergence speed and the smaller steady-state error than those of a single filter with a fixed or variable step size.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e81-a_7_1493/_p
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@ARTICLE{e81-a_7_1493,
author={Min-Soo PARK, Woo-Jin SONG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Complementary Pair LMS Algorithm for Adaptive Filtering},
year={1998},
volume={E81-A},
number={7},
pages={1493-1497},
abstract={This paper presents a new algorithm that can solve the problem of selecting appropriate update step size in the LMS algorithm. The proposed algorithm, called a Complementary Pair LMS (CP-LMS) algorithm, consists of two adaptive filters with different update step sizes operating in parallel, one filter re-initializing the other with the better coefficient estimates whenever possible. This new algorithm provides the faster convergence speed and the smaller steady-state error than those of a single filter with a fixed or variable step size.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - A Complementary Pair LMS Algorithm for Adaptive Filtering
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1493
EP - 1497
AU - Min-Soo PARK
AU - Woo-Jin SONG
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E81-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 1998
AB - This paper presents a new algorithm that can solve the problem of selecting appropriate update step size in the LMS algorithm. The proposed algorithm, called a Complementary Pair LMS (CP-LMS) algorithm, consists of two adaptive filters with different update step sizes operating in parallel, one filter re-initializing the other with the better coefficient estimates whenever possible. This new algorithm provides the faster convergence speed and the smaller steady-state error than those of a single filter with a fixed or variable step size.
ER -
English
