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Scheduled-Stepsize NLMS Algorithm.
- Source :
- IEEE Signal Processing Letters; Dec2009, Vol. 16 Issue 12, p1055-1058, 4p, 2 Charts, 5 Graphs
- Publication Year :
- 2009
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- ALGORITHMS
SIGNAL-to-noise ratio
MEASUREMENT
NOISE
SIGNALS & signaling
Subjects
Details
- Language :
- English
- ISSN :
- 10709908
- Volume :
- 16
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- IEEE Signal Processing Letters
- Publication Type :
- Academic Journal
- Accession number :
- 45726173
- Full Text :
- https://doi.org/10.1109/LSP.2009.2026197