Robust regularization for normalized LMS algorithms
SCIE
SCOPUS
- Title
- Robust regularization for normalized LMS algorithms
- Authors
- Choi, YS; Shin, HC; Song, WJ
- Date Issued
- 2006-08
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGI
- Abstract
- We present a novel normalized least mean square (NLMS) algorithm with robust regularization. The proposed algorithm dynamically updates the regularization parameter that is fixed in the conventional epsilon-NLMS algorithms. By exploiting the gradient descent direction we derive a computationally efficient and robust update scheme for the regularization parameter. Through experiments we demonstrate that the proposed algorithm outperforms conventional NLMS algorithms in terms of the convergence rate and the misadjustment error.
- Keywords
- normalized gradient; normalized least mean square (NLMS); regularization parameter
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/23847
- DOI
- 10.1109/TCSII.2006.877280
- ISSN
- 1057-7130
- Article Type
- Article
- Citation
- IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, vol. 53, no. 8, page. 627 - 631, 2006-08
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