Bias-compensated normalised LMS algorithm with noisy input
- Title
- Bias-compensated normalised LMS algorithm with noisy input
- Authors
- Kang, B; Yoo, J; Park, P; 강봉구
- Date Issued
- 2013-04
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Abstract
- A new bias-compensated normalised least mean square (NLMS) algorithm for parameter estimation with a noisy input is proposed. The algorithm is obtained from an approximated cost function based on the statistical properties of the input noise and involves a condition checking constraint to decide whether the weight coefficient vector must be updated. Simulation results show that the proposed algorithm is more robust and accurate than the conventional method.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/14292
- DOI
- 10.1049/EL.2013.0246
- ISSN
- 0013-5194
- Article Type
- Article
- Files in This Item:
- There are no files associated with this item.
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