Subband Adaptive Filtering with Maximal Decimation Using an Affine Projection Algorithm
Summary :
Affine projection algorithms perform well for acoustic echo cancellation and adaptive equalization. Although these algorithms typically provide fast convergence, they are unduly complex when updating the weights of the associated adaptive filter. In this paper, we propose a new subband affine projection (SAP) algorithm and a facile method for its implementation. The SAP algorithm is derived by combining the affine projection algorithm and the subband adaptive structure with the maximal decimation. In the proposed SAP algorithm, the derived weight-updating formula for the subband adaptive filter has a simple form as compared with the normalized least mean square (NLMS) algorithm. The algorithm gives improved convergence and reduced computational complexity. The efficiency of the proposed algorithm for a colored input signal is evaluated experimentally.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E89-B No.5 pp.1477-1485
- Publication Date
- 2006/05/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e89-b.5.1477
- Type of Manuscript
- PAPER
- Category
- Fundamental Theories for Communications
Authors
Keyword
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Hun CHOI, Sung-Hwan HAN, Hyeon-Deok BAE, "Subband Adaptive Filtering with Maximal Decimation Using an Affine Projection Algorithm" in IEICE TRANSACTIONS on Communications,
vol. E89-B, no. 5, pp. 1477-1485, May 2006, doi: 10.1093/ietcom/e89-b.5.1477.
Abstract: Affine projection algorithms perform well for acoustic echo cancellation and adaptive equalization. Although these algorithms typically provide fast convergence, they are unduly complex when updating the weights of the associated adaptive filter. In this paper, we propose a new subband affine projection (SAP) algorithm and a facile method for its implementation. The SAP algorithm is derived by combining the affine projection algorithm and the subband adaptive structure with the maximal decimation. In the proposed SAP algorithm, the derived weight-updating formula for the subband adaptive filter has a simple form as compared with the normalized least mean square (NLMS) algorithm. The algorithm gives improved convergence and reduced computational complexity. The efficiency of the proposed algorithm for a colored input signal is evaluated experimentally.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.5.1477/_p
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@ARTICLE{e89-b_5_1477,
author={Hun CHOI, Sung-Hwan HAN, Hyeon-Deok BAE, },
journal={IEICE TRANSACTIONS on Communications},
title={Subband Adaptive Filtering with Maximal Decimation Using an Affine Projection Algorithm},
year={2006},
volume={E89-B},
number={5},
pages={1477-1485},
abstract={Affine projection algorithms perform well for acoustic echo cancellation and adaptive equalization. Although these algorithms typically provide fast convergence, they are unduly complex when updating the weights of the associated adaptive filter. In this paper, we propose a new subband affine projection (SAP) algorithm and a facile method for its implementation. The SAP algorithm is derived by combining the affine projection algorithm and the subband adaptive structure with the maximal decimation. In the proposed SAP algorithm, the derived weight-updating formula for the subband adaptive filter has a simple form as compared with the normalized least mean square (NLMS) algorithm. The algorithm gives improved convergence and reduced computational complexity. The efficiency of the proposed algorithm for a colored input signal is evaluated experimentally.},
keywords={},
doi={10.1093/ietcom/e89-b.5.1477},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - Subband Adaptive Filtering with Maximal Decimation Using an Affine Projection Algorithm
T2 - IEICE TRANSACTIONS on Communications
SP - 1477
EP - 1485
AU - Hun CHOI
AU - Sung-Hwan HAN
AU - Hyeon-Deok BAE
PY - 2006
DO - 10.1093/ietcom/e89-b.5.1477
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2006
AB - Affine projection algorithms perform well for acoustic echo cancellation and adaptive equalization. Although these algorithms typically provide fast convergence, they are unduly complex when updating the weights of the associated adaptive filter. In this paper, we propose a new subband affine projection (SAP) algorithm and a facile method for its implementation. The SAP algorithm is derived by combining the affine projection algorithm and the subband adaptive structure with the maximal decimation. In the proposed SAP algorithm, the derived weight-updating formula for the subband adaptive filter has a simple form as compared with the normalized least mean square (NLMS) algorithm. The algorithm gives improved convergence and reduced computational complexity. The efficiency of the proposed algorithm for a colored input signal is evaluated experimentally.
ER -
English
