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Bias-Compensated Normalized Least-Mean Fourth Algorithm for Noisy Input.
- Source :
- Circuits, Systems & Signal Processing; Sep2017, Vol. 36 Issue 9, p3864-3873, 10p
- Publication Year :
- 2017
-
Abstract
- This paper proposes a bias-compensated normalized least-mean fourth (NLMF) algorithm to compensate for the bias caused by noisy input. In the proposed algorithm, we add a bias-compensation vector to the conventional NLMF algorithm, and the bias-compensation vector is then derived based on the unbiasedness criterion. Simulation results in system identification context show that the proposed algorithm provides lower steady-state misalignment as compared to the conventional NLMF algorithm. [ABSTRACT FROM AUTHOR]
- Subjects :
- NORMALIZED measures
ALGORITHMS
SYSTEM identification
Subjects
Details
- Language :
- English
- ISSN :
- 0278081X
- Volume :
- 36
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- Circuits, Systems & Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- 123838006
- Full Text :
- https://doi.org/10.1007/s00034-016-0491-4