Derivation of a new normalized least mean squares algorithm with modified minimization criterion
SCIE
SCOPUS
- Title
- Derivation of a new normalized least mean squares algorithm with modified minimization criterion
- Authors
- Cho, H; Lee, CW; Kim, SW
- Date Issued
- 2009-04
- Publisher
- ELSEVIER SCIENCE BV
- Abstract
- In this letter, we propose a normalized least mean squares (NLMS) algorithm with a new minimization criterion that minimizes the summation of each squared Euclidean norm of difference between the currently updated coefficient vector and past coefficient vectors. Through simulations, we show that the proposed NLMS algorithm has lower misalignment than the conventional NLMS algorithm. (C) 2008 Elsevier B.V. All rights reserved.
- Keywords
- Normalized least mean squares algorithm; Constrained minimization criterion; Reuse of coefficient vector; Misalignment
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/29142
- DOI
- 10.1016/j.sigpro.2008.10.026
- ISSN
- 0165-1684
- Article Type
- Article
- Citation
- SIGNAL PROCESSING, vol. 89, no. 4, page. 692 - 695, 2009-04
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.