Scheduled-Stepsize NLMS Algorithm
SCIE
SCOPUS
- Title
- Scheduled-Stepsize NLMS Algorithm
- Authors
- Park, P; Chang, M; Kong, N
- Date Issued
- 2009-12
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Abstract
- This paper presents a method of scheduling stepsizes for the normalized least-mean-squares (SS-NLMS) algorithm. Geometrically interpreting the mean square deviation (MSD) learning curve leads to establishing an objective curve and to constructing a lookup table of stepsizes in order for the MSD to follow the curve. The SS-NLMS shows not only good performance but also robustness with respect to different signal-to-noise ratio (SNR) in measurement noise and different correlation in input signals with a very small number of online computations. Moreover, the scalability of the tabled stepsize with respect to the number of taps is described. For the efficient memory usage in practice, a modified version replaces the tabled stepsizes by down-sampled stepsizes with no performance degradation.
- Keywords
- Adaptive filter; normalized least mean square (NLMS); scheduled stepsize
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/27665
- DOI
- 10.1109/LSP.2009.2026197
- ISSN
- 1070-9908
- Article Type
- Article
- Citation
- IEEE SIGNAL PROCESSING LETTERS, vol. 16, no. 12, page. 1055 - 1058, 2009-12
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